Ksouri Mekki | ESPRIT.TN - Academia.edu (original) (raw)

Papers by Ksouri Mekki

Research paper thumbnail of Application of Adaptive Controllers for the Temperature Control of a Semi-Batch Reactor

International Journal of Computational Engineering Science, 2001

This paper investigates experimentally the application of several adaptive control algorithms for... more This paper investigates experimentally the application of several adaptive control algorithms for the control of a semi-batch chemical reactor. These algorithms combine parameter estimation algorithms and conventional control design methods to update the coefficients of the ...

Research paper thumbnail of Experimental Nonlinear Model Based Predictive Control for a Class of Semi-Batch Chemical Reactors

International Journal of Advanced Manufacturing Technology, 2002

This paper investigates experimentally the application of a nonlinear model based predictive cont... more This paper investigates experimentally the application of a nonlinear model based predictive control (NLMBPC) to a class of semi-batch chemical reactors equipped with a mono-fluid heating/cooling system. We present the experimental results dealing with a strongly exothermic reaction carried out in a small pilot plant according to a procedure commonly used in industry. The application of the NLMBPC is based on a constrained optimisation problem solved repeatedly on-line. The control objective is to keep the reactor temperature within safe operating specifications by manipulating the heating power. Experimental results demonstrate that this control strategy works well in the presence of hard constraints and load disturbances.

Research paper thumbnail of A Novel Particle Swarm Optimization Approach for Multiobjective Flexible Job Shop Scheduling Problem

This paper presents a novel optimization approach that is a new hybrid optimization approach base... more This paper presents a novel optimization approach that is a new hybrid optimization approach based on the particle swarm optimization algorithm and receptor editing property of immune system. The aim of the present research is to develop a new optimization approach and then to apply it in the solution of optimization problems in both the design and manufacturing areas. A single-objective test problem, tension spring problem, pressure vessel design optimization problem taken from the literature and two case studies for multi-pass turning operations are solved by the proposed new hybrid approach to evaluate performance of the approach. The results obtained by the proposed approach for the case studies are compared with a hybrid genetic algorithm, scatter search algorithm, genetic algorithm, and integration of simulated annealing and Hooke-Jeeves pattern search.

Research paper thumbnail of Identification and Predictive Control of a Nonlinear Process Using a Parametric Volterra Model

International Journal of Computational Engineering Science, 2001

Abstract: This paper presents the identification and the control of a semi-batch reactor. The pro... more Abstract: This paper presents the identification and the control of a semi-batch reactor. The process is described by a parametric Volterra model. The control strategy uses a nonlinear model based predictive control law. A practical procedure for the simultaneous estimation ...

Research paper thumbnail of Implementation of SISO robust predictive control to a three tanks system

This work presents an application of linear and nonlinear robust predictive control onto a three ... more This work presents an application of linear and nonlinear robust predictive control onto a three tanks system. The design of the linear solution is based on Single-Input Single-Output Controlled Auto Regressive Integrated Moving Average (CARIMA) model and the nonlinear controller considers Nonlinear Auto Regressive with eXogenous output (NARX) model. Parametric uncertainties and polytopic uncertainties are adopted in order to take into account the uncertain behavior of the system. Based on worst case strategy, the control law is obtained by the resolution of a min-max optimization problem. However, the performance criterion to be optimized is non-convex. To overcome this problem, non-determinist and determinist global optimization algorithms are proposed namely Genetic Algorithms (GA) and Generalized Geometric Programming (GGP). Experiment results onto a three tanks system are given to illustrate the effectiveness of the developed strategies.

Research paper thumbnail of Implementation of SISO robust predictive control to a three tanks system

This work presents an application of linear and nonlinear robust predictive control onto a three ... more This work presents an application of linear and nonlinear robust predictive control onto a three tanks system. The design of the linear solution is based on Single-Input Single-Output Controlled Auto Regressive Integrated Moving Average (CARIMA) model and the nonlinear controller considers Nonlinear Auto Regressive with eXogenous output (NARX) model. Parametric uncertainties and polytopic uncertainties are adopted in order to take into account the uncertain behavior of the system. Based on worst case strategy, the control law is obtained by the resolution of a min-max optimization problem. However, the performance criterion to be optimized is non-convex. To overcome this problem, non-determinist and determinist global optimization algorithms are proposed namely Genetic Algorithms (GA) and Generalized Geometric Programming (GGP). Experiment results onto a three tanks system are given to illustrate the effectiveness of the developed strategies.

Research paper thumbnail of A new hybrid evolutionary approach for the pickup and delivery problem with time windows

This paper deals with the single-vehicle pickup and delivery problem with time windows (1-PDPTW).... more This paper deals with the single-vehicle pickup and delivery problem with time windows (1-PDPTW). In the 1-PDPTW a vehicle must serve a collection of transportation requests by taking loads from providers to customers satisfying precedence, capacity and time constraints. This paper proposes a scientific literature review on the PDPTW and provides a new hybrid evolutionary approach to solve this problem. Our hybrid evolutionary approach uses an evolutionary algorithm, with special genetic operators, tabu search and Pareto dominance method to provide a set of satisfying and feasible solutions to the 1-PDPTW, minimizing the compromise between total travel distance, total waiting time and total tardiness time.

Research paper thumbnail of Kinetics of zinc electrocrystallization correlated with the deposit morphology

Faraday Symposia of The Chemical Society, 1977

ABSTRACT

Research paper thumbnail of A comparative study on the channel modeling using feedforward and recurrent neural network structures

In digital mobile communication, the non-stationary channel linear modeling become insufficient f... more In digital mobile communication, the non-stationary channel linear modeling become insufficient for channel nonlinear variations. The objective of this work is to select a suitable neural structure for the channel modeling. We present the advantages of a new neural structure, which is the modified Elman network (MEN), applied to digital communication problems such us the channel modeling. By comparison with

Research paper thumbnail of Robust Stabilization Approach and H∞ Performance via Static Output Feedback for a Class of Nonlinear Systems

Mathematical Problems in Engineering, 2009

This paper deals with the stability and stabilization problems for a class of discrete-time nonli... more This paper deals with the stability and stabilization problems for a class of discrete-time nonlinear systems. The systems are composed of a linear constant part perturbated by an additive nonlinear function which satisfies a quadratic constraint. A new approach to design a static output feedback controller is proposed. A sufficient condition, formulated as an LMI optimization convex problem, is developed. In fact, the approach is based on a family of LMI parameterized by a scalar, offering an additional degree of freedom. The problem of performance taking into account an H ∞ criterion is also investigated. Numerical examples are provided to illustrate the effectiveness of the proposed conditions.

Research paper thumbnail of Improved LMI formulation for robust dynamic output feedback controller design of discrete-time switched systems via switched Lyapunov function

This paper concerns dynamic output feedback design of discrete-time linear switched systems using... more This paper concerns dynamic output feedback design of discrete-time linear switched systems using switched Lyapunov functions (SLF). A new characterization of stability H¿ performance for the switched system under arbitrary switching is first given. The various conditions are given through a family of LMI (linear matrix inequalities) parameterized by a scalar variable which offers an additional degree of freedom, enabling, at the expense of a relatively small degree of complexity in the numerical treatment (one line search), to provide better results compared to previous results. The control is defined as a switched dynamic output feedback which guarantees stability and H¿ performance for the closed-loop system. A numerical example is presented to illustrate the effectiveness of the proposed conditions.

Research paper thumbnail of Fuzzy trace identification algorithms for non-stationary systems

Journal of Intelligent and Fuzzy Systems, 1998

Research paper thumbnail of A fast identification algorithm for systems with delayed inputs

International Journal of Systems Science, 2011

A fast identification algorithm is proposed for systems with delayed inputs. It is based on a non... more A fast identification algorithm is proposed for systems with delayed inputs. It is based on a non-asymptotic distributional estimation technique initiated in the framework of systems without delay. Such technique leads to simple realization schemes, involving integrators, multipliers and piecewise polynomial or exponential time functions. Thus, it allows for a real time implementation. In order to introduce a generalization to systems with input delay, three simple examples are presented here. The first illustration is a first order model with delayed input and noise. Then, a second order system driven through a transmission line is considered. A third example shows a possible link between simultaneous identification and generalized eigenvalue problems.

Research paper thumbnail of Multi-criteria optimization in nonlinear predictive control

Mathematics and Computers in Simulation, 2008

The multicriterion predictive control of nonlinear dynamical systems based on Artificial Neural N... more The multicriterion predictive control of nonlinear dynamical systems based on Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs) are considered. The (ANNs) are used to determine process models at each operating level; the control action is provided by minimizing a set of control objective which is function of the future prediction output and the future control actions. The Non Dominated Sorting Genetic Algorithm (NSGA) is applied to solve the multicriterion optimization problem. The proposed control scheme is applied to a numerical example and the simulation results are compared to those obtained with the multimodel approach.

Research paper thumbnail of LMI Formulation for Static Output Feedback Design of Discrete-Time Switched Systems

Journal of Control Science and Engineering, 2009

This paper concerns static output feedback design of discrete-time linear switched system using s... more This paper concerns static output feedback design of discrete-time linear switched system using switched Lyapunov functions (SLFs). A new characterization of stability for the switched system under arbitrary switching is first given together with γperformance evaluation. The various conditions are given through a family of LMIs (Linear Matrix Inequalities) parameterized by a scalar variable which offers an additional degree of freedom, enabling, at the expense of a relatively small degree of complexity in the numerical treatment (one line search), to provide better results compared to previous one. The control is defined as a switched static output feedback which guarantees stability and γ-performance for the closed-loop system. A numerical example is presented to illustrate the effectiveness of the proposed conditions.

Research paper thumbnail of Nonlinear Model-Based Predictive Control Using a Generalised Hammerstein Model and its Application to a Semi-Batch Reactor

International Journal of Advanced Manufacturing Technology, 2002

In recent years, much attention has been focused upon predictive control of nonlinear systems. Th... more In recent years, much attention has been focused upon predictive control of nonlinear systems. The implementation of such a control strategy for real processes has greatly improved their performance. This paper deals with a model-based predictive control (MBPC) strategy using a generalised Hammerstein model and its application to the temperature control of a semibatch reactor. Both unconstrained and constrained adaptive control problems are considered. A simple identification method based on the weighted recursive least squares method (WRLS) is used to estimate the model parameters on-line. An indirect adaptive nonlinear controller is designed by combining the predictive controller with an indirect parameter estimation algorithm. This adaptive scheme has been applied for the control of a semi-batch chemical reactor. Experimental results show that the performance of the generalised Hammerstein MBPC (NLMBPC) was significantly better than that of a linear model predictive controller (LMBPC).

Research paper thumbnail of Efficient Implementation of Constrained Robust Model Predictive Control using a State Space Model

Research paper thumbnail of Supervision of a Three Tanks System by Bond Graph and External Models

This paper considers the supervision of complex systems by bond graph (BG) and external models (E... more This paper considers the supervision of complex systems by bond graph (BG) and external models (EM). The bond graph is used for the detection and isolation of fault affecting sensors, actuators or physical components of the process. The external models structure the industrial process, according to several modes of operation (degraded and normal). The switching from one operated mode to another mode is described by a graph called management mode operation graph. It represents the man-machine interface system. The logic functions are controlled by the availability of services and therefore the state of technological components. Thus, the availability of services (necessary for conducting a mission) will be provided by the monitoring algorithm based on BG at management operation graph. The combined representation BG-EM as behavioral and functional modeling for supervision system design is applied to a three tankssystem.

Research paper thumbnail of MIMO robust predictive control applied to a three tanks system

This paper provides an application of linear and nonlinear multivariable robust predictive contro... more This paper provides an application of linear and nonlinear multivariable robust predictive control to a three tanks system. The design of the nonlinear solution is based on a Multi-Input Multi-Output Nonlinear Auto Regressive with eXogenous outputs (MIMO-NARX) model and the linear controller considers a MIMO Controlled Auto Regressive Integrated Moving Average (MIMO-CARIMA) model. Polytopic uncertainties and structured uncertainties are adopted in order to take into account the uncertain physical dynamics of the system. Using worst case strategy, the control law is obtained by the resolution of a min-max optimization problem. However, the performance criterion to be optimized is non-convex. A genetic algorithm is adopted to solve the control problem. The efficiency of the developed strategies is illustrated on a three tanks system.

Research paper thumbnail of Intermédiaires adsorbés et électrocristallisation

Journal of Electroanalytical Chemistry, 1975

It is shown that the inductive impedance of an electrode where an electrocrystallization process ... more It is shown that the inductive impedance of an electrode where an electrocrystallization process takes place can be explained by the variation, with the potential, of the partial coverage of the electrode by adsorbed intermediates. On the other hand, this property of the electrochemical impedance cannot be related to the variation of the cathodic surface with the potential.

Research paper thumbnail of Application of Adaptive Controllers for the Temperature Control of a Semi-Batch Reactor

International Journal of Computational Engineering Science, 2001

This paper investigates experimentally the application of several adaptive control algorithms for... more This paper investigates experimentally the application of several adaptive control algorithms for the control of a semi-batch chemical reactor. These algorithms combine parameter estimation algorithms and conventional control design methods to update the coefficients of the ...

Research paper thumbnail of Experimental Nonlinear Model Based Predictive Control for a Class of Semi-Batch Chemical Reactors

International Journal of Advanced Manufacturing Technology, 2002

This paper investigates experimentally the application of a nonlinear model based predictive cont... more This paper investigates experimentally the application of a nonlinear model based predictive control (NLMBPC) to a class of semi-batch chemical reactors equipped with a mono-fluid heating/cooling system. We present the experimental results dealing with a strongly exothermic reaction carried out in a small pilot plant according to a procedure commonly used in industry. The application of the NLMBPC is based on a constrained optimisation problem solved repeatedly on-line. The control objective is to keep the reactor temperature within safe operating specifications by manipulating the heating power. Experimental results demonstrate that this control strategy works well in the presence of hard constraints and load disturbances.

Research paper thumbnail of A Novel Particle Swarm Optimization Approach for Multiobjective Flexible Job Shop Scheduling Problem

This paper presents a novel optimization approach that is a new hybrid optimization approach base... more This paper presents a novel optimization approach that is a new hybrid optimization approach based on the particle swarm optimization algorithm and receptor editing property of immune system. The aim of the present research is to develop a new optimization approach and then to apply it in the solution of optimization problems in both the design and manufacturing areas. A single-objective test problem, tension spring problem, pressure vessel design optimization problem taken from the literature and two case studies for multi-pass turning operations are solved by the proposed new hybrid approach to evaluate performance of the approach. The results obtained by the proposed approach for the case studies are compared with a hybrid genetic algorithm, scatter search algorithm, genetic algorithm, and integration of simulated annealing and Hooke-Jeeves pattern search.

Research paper thumbnail of Identification and Predictive Control of a Nonlinear Process Using a Parametric Volterra Model

International Journal of Computational Engineering Science, 2001

Abstract: This paper presents the identification and the control of a semi-batch reactor. The pro... more Abstract: This paper presents the identification and the control of a semi-batch reactor. The process is described by a parametric Volterra model. The control strategy uses a nonlinear model based predictive control law. A practical procedure for the simultaneous estimation ...

Research paper thumbnail of Implementation of SISO robust predictive control to a three tanks system

This work presents an application of linear and nonlinear robust predictive control onto a three ... more This work presents an application of linear and nonlinear robust predictive control onto a three tanks system. The design of the linear solution is based on Single-Input Single-Output Controlled Auto Regressive Integrated Moving Average (CARIMA) model and the nonlinear controller considers Nonlinear Auto Regressive with eXogenous output (NARX) model. Parametric uncertainties and polytopic uncertainties are adopted in order to take into account the uncertain behavior of the system. Based on worst case strategy, the control law is obtained by the resolution of a min-max optimization problem. However, the performance criterion to be optimized is non-convex. To overcome this problem, non-determinist and determinist global optimization algorithms are proposed namely Genetic Algorithms (GA) and Generalized Geometric Programming (GGP). Experiment results onto a three tanks system are given to illustrate the effectiveness of the developed strategies.

Research paper thumbnail of Implementation of SISO robust predictive control to a three tanks system

This work presents an application of linear and nonlinear robust predictive control onto a three ... more This work presents an application of linear and nonlinear robust predictive control onto a three tanks system. The design of the linear solution is based on Single-Input Single-Output Controlled Auto Regressive Integrated Moving Average (CARIMA) model and the nonlinear controller considers Nonlinear Auto Regressive with eXogenous output (NARX) model. Parametric uncertainties and polytopic uncertainties are adopted in order to take into account the uncertain behavior of the system. Based on worst case strategy, the control law is obtained by the resolution of a min-max optimization problem. However, the performance criterion to be optimized is non-convex. To overcome this problem, non-determinist and determinist global optimization algorithms are proposed namely Genetic Algorithms (GA) and Generalized Geometric Programming (GGP). Experiment results onto a three tanks system are given to illustrate the effectiveness of the developed strategies.

Research paper thumbnail of A new hybrid evolutionary approach for the pickup and delivery problem with time windows

This paper deals with the single-vehicle pickup and delivery problem with time windows (1-PDPTW).... more This paper deals with the single-vehicle pickup and delivery problem with time windows (1-PDPTW). In the 1-PDPTW a vehicle must serve a collection of transportation requests by taking loads from providers to customers satisfying precedence, capacity and time constraints. This paper proposes a scientific literature review on the PDPTW and provides a new hybrid evolutionary approach to solve this problem. Our hybrid evolutionary approach uses an evolutionary algorithm, with special genetic operators, tabu search and Pareto dominance method to provide a set of satisfying and feasible solutions to the 1-PDPTW, minimizing the compromise between total travel distance, total waiting time and total tardiness time.

Research paper thumbnail of Kinetics of zinc electrocrystallization correlated with the deposit morphology

Faraday Symposia of The Chemical Society, 1977

ABSTRACT

Research paper thumbnail of A comparative study on the channel modeling using feedforward and recurrent neural network structures

In digital mobile communication, the non-stationary channel linear modeling become insufficient f... more In digital mobile communication, the non-stationary channel linear modeling become insufficient for channel nonlinear variations. The objective of this work is to select a suitable neural structure for the channel modeling. We present the advantages of a new neural structure, which is the modified Elman network (MEN), applied to digital communication problems such us the channel modeling. By comparison with

Research paper thumbnail of Robust Stabilization Approach and H∞ Performance via Static Output Feedback for a Class of Nonlinear Systems

Mathematical Problems in Engineering, 2009

This paper deals with the stability and stabilization problems for a class of discrete-time nonli... more This paper deals with the stability and stabilization problems for a class of discrete-time nonlinear systems. The systems are composed of a linear constant part perturbated by an additive nonlinear function which satisfies a quadratic constraint. A new approach to design a static output feedback controller is proposed. A sufficient condition, formulated as an LMI optimization convex problem, is developed. In fact, the approach is based on a family of LMI parameterized by a scalar, offering an additional degree of freedom. The problem of performance taking into account an H ∞ criterion is also investigated. Numerical examples are provided to illustrate the effectiveness of the proposed conditions.

Research paper thumbnail of Improved LMI formulation for robust dynamic output feedback controller design of discrete-time switched systems via switched Lyapunov function

This paper concerns dynamic output feedback design of discrete-time linear switched systems using... more This paper concerns dynamic output feedback design of discrete-time linear switched systems using switched Lyapunov functions (SLF). A new characterization of stability H¿ performance for the switched system under arbitrary switching is first given. The various conditions are given through a family of LMI (linear matrix inequalities) parameterized by a scalar variable which offers an additional degree of freedom, enabling, at the expense of a relatively small degree of complexity in the numerical treatment (one line search), to provide better results compared to previous results. The control is defined as a switched dynamic output feedback which guarantees stability and H¿ performance for the closed-loop system. A numerical example is presented to illustrate the effectiveness of the proposed conditions.

Research paper thumbnail of Fuzzy trace identification algorithms for non-stationary systems

Journal of Intelligent and Fuzzy Systems, 1998

Research paper thumbnail of A fast identification algorithm for systems with delayed inputs

International Journal of Systems Science, 2011

A fast identification algorithm is proposed for systems with delayed inputs. It is based on a non... more A fast identification algorithm is proposed for systems with delayed inputs. It is based on a non-asymptotic distributional estimation technique initiated in the framework of systems without delay. Such technique leads to simple realization schemes, involving integrators, multipliers and piecewise polynomial or exponential time functions. Thus, it allows for a real time implementation. In order to introduce a generalization to systems with input delay, three simple examples are presented here. The first illustration is a first order model with delayed input and noise. Then, a second order system driven through a transmission line is considered. A third example shows a possible link between simultaneous identification and generalized eigenvalue problems.

Research paper thumbnail of Multi-criteria optimization in nonlinear predictive control

Mathematics and Computers in Simulation, 2008

The multicriterion predictive control of nonlinear dynamical systems based on Artificial Neural N... more The multicriterion predictive control of nonlinear dynamical systems based on Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs) are considered. The (ANNs) are used to determine process models at each operating level; the control action is provided by minimizing a set of control objective which is function of the future prediction output and the future control actions. The Non Dominated Sorting Genetic Algorithm (NSGA) is applied to solve the multicriterion optimization problem. The proposed control scheme is applied to a numerical example and the simulation results are compared to those obtained with the multimodel approach.

Research paper thumbnail of LMI Formulation for Static Output Feedback Design of Discrete-Time Switched Systems

Journal of Control Science and Engineering, 2009

This paper concerns static output feedback design of discrete-time linear switched system using s... more This paper concerns static output feedback design of discrete-time linear switched system using switched Lyapunov functions (SLFs). A new characterization of stability for the switched system under arbitrary switching is first given together with γperformance evaluation. The various conditions are given through a family of LMIs (Linear Matrix Inequalities) parameterized by a scalar variable which offers an additional degree of freedom, enabling, at the expense of a relatively small degree of complexity in the numerical treatment (one line search), to provide better results compared to previous one. The control is defined as a switched static output feedback which guarantees stability and γ-performance for the closed-loop system. A numerical example is presented to illustrate the effectiveness of the proposed conditions.

Research paper thumbnail of Nonlinear Model-Based Predictive Control Using a Generalised Hammerstein Model and its Application to a Semi-Batch Reactor

International Journal of Advanced Manufacturing Technology, 2002

In recent years, much attention has been focused upon predictive control of nonlinear systems. Th... more In recent years, much attention has been focused upon predictive control of nonlinear systems. The implementation of such a control strategy for real processes has greatly improved their performance. This paper deals with a model-based predictive control (MBPC) strategy using a generalised Hammerstein model and its application to the temperature control of a semibatch reactor. Both unconstrained and constrained adaptive control problems are considered. A simple identification method based on the weighted recursive least squares method (WRLS) is used to estimate the model parameters on-line. An indirect adaptive nonlinear controller is designed by combining the predictive controller with an indirect parameter estimation algorithm. This adaptive scheme has been applied for the control of a semi-batch chemical reactor. Experimental results show that the performance of the generalised Hammerstein MBPC (NLMBPC) was significantly better than that of a linear model predictive controller (LMBPC).

Research paper thumbnail of Efficient Implementation of Constrained Robust Model Predictive Control using a State Space Model

Research paper thumbnail of Supervision of a Three Tanks System by Bond Graph and External Models

This paper considers the supervision of complex systems by bond graph (BG) and external models (E... more This paper considers the supervision of complex systems by bond graph (BG) and external models (EM). The bond graph is used for the detection and isolation of fault affecting sensors, actuators or physical components of the process. The external models structure the industrial process, according to several modes of operation (degraded and normal). The switching from one operated mode to another mode is described by a graph called management mode operation graph. It represents the man-machine interface system. The logic functions are controlled by the availability of services and therefore the state of technological components. Thus, the availability of services (necessary for conducting a mission) will be provided by the monitoring algorithm based on BG at management operation graph. The combined representation BG-EM as behavioral and functional modeling for supervision system design is applied to a three tankssystem.

Research paper thumbnail of MIMO robust predictive control applied to a three tanks system

This paper provides an application of linear and nonlinear multivariable robust predictive contro... more This paper provides an application of linear and nonlinear multivariable robust predictive control to a three tanks system. The design of the nonlinear solution is based on a Multi-Input Multi-Output Nonlinear Auto Regressive with eXogenous outputs (MIMO-NARX) model and the linear controller considers a MIMO Controlled Auto Regressive Integrated Moving Average (MIMO-CARIMA) model. Polytopic uncertainties and structured uncertainties are adopted in order to take into account the uncertain physical dynamics of the system. Using worst case strategy, the control law is obtained by the resolution of a min-max optimization problem. However, the performance criterion to be optimized is non-convex. A genetic algorithm is adopted to solve the control problem. The efficiency of the developed strategies is illustrated on a three tanks system.

Research paper thumbnail of Intermédiaires adsorbés et électrocristallisation

Journal of Electroanalytical Chemistry, 1975

It is shown that the inductive impedance of an electrode where an electrocrystallization process ... more It is shown that the inductive impedance of an electrode where an electrocrystallization process takes place can be explained by the variation, with the potential, of the partial coverage of the electrode by adsorbed intermediates. On the other hand, this property of the electrochemical impedance cannot be related to the variation of the cathodic surface with the potential.