Vishal Goyal - Academia.edu (original) (raw)
Papers by Vishal Goyal
The present paper discusses the stability analysis of discrete-time uncertain nonlinear systems w... more The present paper discusses the stability analysis of discrete-time uncertain nonlinear systems with time-varying delay, uncertainties related to parametric uncertainty and unknown nonlinearity. The time-varying delay considered has minimum and maximum bounds. The novelty of Chebyshev Neural Network (CNN) is that it requires much less computation time as compared to multi layer neural network (MLNN) and radial basis function network (RBFN). It is preferred to approximate the unknown nonlinearities. Furthermore, results for robust stabilization of discrete-time uncertain nonlinear systems with timevarying delay are given on the basis of linear matrix inequalities (LMI). The sufficient condition is derived for the asymptotic stability of the defined systems. The proposed controller guarantees the system state trajectory to the designed sliding surface in the presence of uncertainties and time-varying delay. Simulation results illustrate the validity of the proposed approach. Key-words...
2008 First International Conference on Emerging Trends in Engineering and Technology, 2008
Morphology is the field of the linguistics that studies the internal structure of the words. Morp... more Morphology is the field of the linguistics that studies the internal structure of the words. Morphological Analysis and generation are essential steps in any NLP Application. Morphological analysis means taking a word as input and identifying their stems and affixes. Morphological Analysis provides information about a word's semantics and the syntactic role it plays in a sentence. Morphological Analysis is essential for Hindi it has a rich system of inflectional morphology as like other Indo-Aryan family languages. Morphological Analyzer and generator is a tool for analyzing the given word and generator for generating word given the stem and its features (like affixes). This paper presents the morphological analysis and generator tool for Hindi Language using paradigm approach for Windows platform having GUI. This project has been developed as part of the Development of a machine translation System from Hindi to Punjabi Language.
Computers & Chemical Engineering, 2004
Significant advances have been made in the last two decades for the effective solution of mixed i... more Significant advances have been made in the last two decades for the effective solution of mixed integer non-linear programming (MINLP) problems, mainly by exploiting the special structure of the problem that results under certain convexity assumptions. This paper discusses the computational experience with a novel decomposition algorithm which is based on the idea of closely approximating the feasible region defined by the set of constraints by a convex polytope using the simplicial approximation approach (Goyal and Ierapetritou, 2003b). A variety of problems are solved including structural flowsheet optimization, design of batch processes and trim-loss minimization to illustrate the applicability and efficiency of the proposed approach.
AIChE Journal, 2003
A large number of publications a®ailable on determining the feasible region and the operability l... more A large number of publications a®ailable on determining the feasible region and the operability limits for a design are all limited due to the assumption that the feasible space is con®ex, but almost all of the problems appearing in chemical engineering are noncon®ex in nature. Determining the region where the design is feasible and safe to operate is of extreme importance. To address this problem, a no®el algorithm was de®eloped based on the idea of systematically e®aluating the infeasibility areas using the outer approximation procedure introduced earlier, and the simplicial approximation approach to approximate the expanded feasible space constructed with the exclusion of the non-con®ex constraints. This approach is general and deals with any noncon®ex regions, as long as the noncon®ex constraints are either conca®e or quasi-con®ex, as illustrated through a series of example problems. A new metric is introduced to accommodate the need for comparison between ®arious designs.
Computer Aided Chemical Engineering, 2004
Computer Aided Chemical Engineering, 2004
One of the important considerations in plant design is to be able to accommodate changing product... more One of the important considerations in plant design is to be able to accommodate changing product demands of future markets. Competing markets makes a high degree of market adaptation and orientation necessary. This paper presents a standardized module-based approach to integrate the data-analysis and robust design optimization stages, that have been traditionally performed separately, to generate a set of designs that span the entire demand space in an cost-optimal fashion, thus resulting in significant economic savings for both the manufacturers and the customers. A case study of design of a reactor-separator system is presented to illustrate the applicability of the proposed approach.
Computer Aided Chemical Engineering, 2005
Mathematical programming has long been recognized as a promising direction to the efficient solut... more Mathematical programming has long been recognized as a promising direction to the efficient solution of design, synthesis and operation problems that can gain industry the competitive advantage required to survive in today's difficult economic environment. Most of the engineering design problems can be modeled as MINLP problems with stochastic parameters. In this paper a novel decomposition algorithm is presented to solve convex stochastic MINLP problems. The proposed approach is an extension of the simplicial-approximation approach proposed by Goyal and Ierapetritou, (Goyal and Ierapetritou, 2004a, 2004b), for solving deterministic MINLP problems and is based on the idea of closely approximating the feasible region defined by the set of constraints by an approximation of its convex hull. A case study is also presented illustrating the applicability and efficiency of the proposed approach.
Industrial & Engineering Chemistry Research, 2004
One of the important considerations in plant design is to be able to accommodate changing product... more One of the important considerations in plant design is to be able to accommodate changing product demands associated with market variability. Competing markets require a high degree of market adaptation and orientation. Recent developments in process design have focused on ...
Industrial & Engineering Chemistry Research
Current techniques for process synthesis aim at creating customized process plants in which produ... more Current techniques for process synthesis aim at creating customized process plants in which production capacity is specified to meet certain market demand. However, it is known that, in most cases, significant economic savings can be achieved if standardized module-based designs can be developed instead of customized designs. In this paper, a novel framework is presented to generate a set of modular designs that are optimal for different ranges of market data based on customer requirements through integration of data-analysis and design/synthesis-optimization stages that have been traditionally performed separately. The basic idea is to apply a clustering methodology and design/synthesis optimization iteratively, allowing repartitioning of data based on design feasibility and a new optimization search based on the current clustering of data. The proposed approach expands the boundaries of design optimization to incorporate demand data analysis reflecting customer requirements. A detailed case study of a cryogenic air separation plant with current demand data is presented to illustrate the importance and practical relevance of the proposed approach.
Computers & Chemical Engineering, 2005
... Autores: Marianthi G. Ierapetritou, Vishal Goyal; Localización: Computers & chemical engi... more ... Autores: Marianthi G. Ierapetritou, Vishal Goyal; Localización: Computers & chemical engineering, ISSN 0098-1354, Nº. 5, 2005 , pags. 1151-1152. © 2001-2010 Universidad de La Rioja · Todos los derechos reservados. XHTML 1.0; UTF‑8.
Computers & Chemical Engineering, 2007
Mathematical programming has long been recognized as a promising direction to the efficient solut... more Mathematical programming has long been recognized as a promising direction to the efficient solution of design, synthesis and operation problems that can gain industry the competitive advantage required to survive in today's difficult economic environment. Most of the engineering design problems can be modeled as MINLP problems with stochastic parameters. In this paper a novel decomposition algorithm is presented to solve convex stochastic MINLP problems. The proposed approach is an extension of the simplicial-approximation approach proposed by Goyal and Ierapetritou, (Goyal and Ierapetritou, 2004a, 2004b), for solving deterministic MINLP problems and is based on the idea of closely approximating the feasible region defined by the set of constraints by an approximation of its convex hull. A case study is also presented illustrating the applicability and efficiency of the proposed approach.
AIChE Journal, 2002
Determining the boundaries of any process/design where feasible and safe operation is guaranteed ... more Determining the boundaries of any process/design where feasible and safe operation is guaranteed has long been recognized as a major concern in process industries. Of additional value is identifying the range of operating conditions where the design is most profitable. Although there is a lot of discussion in the open literature regarding design feasibility in terms of uncertainty of process variables, these techniques are rather limited due to the underestimation of the feasible space. A new approach is presented based on the ideas of inner and outer approximation of the feasible region to identify the operating envelopes where process operation is feasible, safe, and profitable. A number of example problems are presented including two case studies to illustrate the applicability of this approach.
Arxiv preprint arXiv:0912.2479, 2009
The ability of an intelligent environment to connect and adapt to real internal sates, needs and ... more The ability of an intelligent environment to connect and adapt to real internal sates, needs and behaviors' meaning of humans can be made possible by considering users' emotional states as contextual parameters. In this paper, we build on enactive psychology and investigate the incorporation of emotions in pervasive systems. We define emotions, and discuss the coding of emotional human markers by smart environments. In addition, we compare some existing works and identify how emotions can be detected and modeled by a pervasive system in order to enhance its service and response to users. Finally, we analyze closely one XML-based language for representing and annotating emotions known as EARL and raise two important issues which pertain to emotion representation and modeling in XML-based languages.
The present paper discusses the stability analysis of discrete-time uncertain nonlinear systems w... more The present paper discusses the stability analysis of discrete-time uncertain nonlinear systems with time-varying delay, uncertainties related to parametric uncertainty and unknown nonlinearity. The time-varying delay considered has minimum and maximum bounds. The novelty of Chebyshev Neural Network (CNN) is that it requires much less computation time as compared to multi layer neural network (MLNN) and radial basis function network (RBFN). It is preferred to approximate the unknown nonlinearities. Furthermore, results for robust stabilization of discrete-time uncertain nonlinear systems with timevarying delay are given on the basis of linear matrix inequalities (LMI). The sufficient condition is derived for the asymptotic stability of the defined systems. The proposed controller guarantees the system state trajectory to the designed sliding surface in the presence of uncertainties and time-varying delay. Simulation results illustrate the validity of the proposed approach. Key-words...
2008 First International Conference on Emerging Trends in Engineering and Technology, 2008
Morphology is the field of the linguistics that studies the internal structure of the words. Morp... more Morphology is the field of the linguistics that studies the internal structure of the words. Morphological Analysis and generation are essential steps in any NLP Application. Morphological analysis means taking a word as input and identifying their stems and affixes. Morphological Analysis provides information about a word's semantics and the syntactic role it plays in a sentence. Morphological Analysis is essential for Hindi it has a rich system of inflectional morphology as like other Indo-Aryan family languages. Morphological Analyzer and generator is a tool for analyzing the given word and generator for generating word given the stem and its features (like affixes). This paper presents the morphological analysis and generator tool for Hindi Language using paradigm approach for Windows platform having GUI. This project has been developed as part of the Development of a machine translation System from Hindi to Punjabi Language.
Computers & Chemical Engineering, 2004
Significant advances have been made in the last two decades for the effective solution of mixed i... more Significant advances have been made in the last two decades for the effective solution of mixed integer non-linear programming (MINLP) problems, mainly by exploiting the special structure of the problem that results under certain convexity assumptions. This paper discusses the computational experience with a novel decomposition algorithm which is based on the idea of closely approximating the feasible region defined by the set of constraints by a convex polytope using the simplicial approximation approach (Goyal and Ierapetritou, 2003b). A variety of problems are solved including structural flowsheet optimization, design of batch processes and trim-loss minimization to illustrate the applicability and efficiency of the proposed approach.
AIChE Journal, 2003
A large number of publications a®ailable on determining the feasible region and the operability l... more A large number of publications a®ailable on determining the feasible region and the operability limits for a design are all limited due to the assumption that the feasible space is con®ex, but almost all of the problems appearing in chemical engineering are noncon®ex in nature. Determining the region where the design is feasible and safe to operate is of extreme importance. To address this problem, a no®el algorithm was de®eloped based on the idea of systematically e®aluating the infeasibility areas using the outer approximation procedure introduced earlier, and the simplicial approximation approach to approximate the expanded feasible space constructed with the exclusion of the non-con®ex constraints. This approach is general and deals with any noncon®ex regions, as long as the noncon®ex constraints are either conca®e or quasi-con®ex, as illustrated through a series of example problems. A new metric is introduced to accommodate the need for comparison between ®arious designs.
Computer Aided Chemical Engineering, 2004
Computer Aided Chemical Engineering, 2004
One of the important considerations in plant design is to be able to accommodate changing product... more One of the important considerations in plant design is to be able to accommodate changing product demands of future markets. Competing markets makes a high degree of market adaptation and orientation necessary. This paper presents a standardized module-based approach to integrate the data-analysis and robust design optimization stages, that have been traditionally performed separately, to generate a set of designs that span the entire demand space in an cost-optimal fashion, thus resulting in significant economic savings for both the manufacturers and the customers. A case study of design of a reactor-separator system is presented to illustrate the applicability of the proposed approach.
Computer Aided Chemical Engineering, 2005
Mathematical programming has long been recognized as a promising direction to the efficient solut... more Mathematical programming has long been recognized as a promising direction to the efficient solution of design, synthesis and operation problems that can gain industry the competitive advantage required to survive in today's difficult economic environment. Most of the engineering design problems can be modeled as MINLP problems with stochastic parameters. In this paper a novel decomposition algorithm is presented to solve convex stochastic MINLP problems. The proposed approach is an extension of the simplicial-approximation approach proposed by Goyal and Ierapetritou, (Goyal and Ierapetritou, 2004a, 2004b), for solving deterministic MINLP problems and is based on the idea of closely approximating the feasible region defined by the set of constraints by an approximation of its convex hull. A case study is also presented illustrating the applicability and efficiency of the proposed approach.
Industrial & Engineering Chemistry Research, 2004
One of the important considerations in plant design is to be able to accommodate changing product... more One of the important considerations in plant design is to be able to accommodate changing product demands associated with market variability. Competing markets require a high degree of market adaptation and orientation. Recent developments in process design have focused on ...
Industrial & Engineering Chemistry Research
Current techniques for process synthesis aim at creating customized process plants in which produ... more Current techniques for process synthesis aim at creating customized process plants in which production capacity is specified to meet certain market demand. However, it is known that, in most cases, significant economic savings can be achieved if standardized module-based designs can be developed instead of customized designs. In this paper, a novel framework is presented to generate a set of modular designs that are optimal for different ranges of market data based on customer requirements through integration of data-analysis and design/synthesis-optimization stages that have been traditionally performed separately. The basic idea is to apply a clustering methodology and design/synthesis optimization iteratively, allowing repartitioning of data based on design feasibility and a new optimization search based on the current clustering of data. The proposed approach expands the boundaries of design optimization to incorporate demand data analysis reflecting customer requirements. A detailed case study of a cryogenic air separation plant with current demand data is presented to illustrate the importance and practical relevance of the proposed approach.
Computers & Chemical Engineering, 2005
... Autores: Marianthi G. Ierapetritou, Vishal Goyal; Localización: Computers & chemical engi... more ... Autores: Marianthi G. Ierapetritou, Vishal Goyal; Localización: Computers & chemical engineering, ISSN 0098-1354, Nº. 5, 2005 , pags. 1151-1152. © 2001-2010 Universidad de La Rioja · Todos los derechos reservados. XHTML 1.0; UTF‑8.
Computers & Chemical Engineering, 2007
Mathematical programming has long been recognized as a promising direction to the efficient solut... more Mathematical programming has long been recognized as a promising direction to the efficient solution of design, synthesis and operation problems that can gain industry the competitive advantage required to survive in today's difficult economic environment. Most of the engineering design problems can be modeled as MINLP problems with stochastic parameters. In this paper a novel decomposition algorithm is presented to solve convex stochastic MINLP problems. The proposed approach is an extension of the simplicial-approximation approach proposed by Goyal and Ierapetritou, (Goyal and Ierapetritou, 2004a, 2004b), for solving deterministic MINLP problems and is based on the idea of closely approximating the feasible region defined by the set of constraints by an approximation of its convex hull. A case study is also presented illustrating the applicability and efficiency of the proposed approach.
AIChE Journal, 2002
Determining the boundaries of any process/design where feasible and safe operation is guaranteed ... more Determining the boundaries of any process/design where feasible and safe operation is guaranteed has long been recognized as a major concern in process industries. Of additional value is identifying the range of operating conditions where the design is most profitable. Although there is a lot of discussion in the open literature regarding design feasibility in terms of uncertainty of process variables, these techniques are rather limited due to the underestimation of the feasible space. A new approach is presented based on the ideas of inner and outer approximation of the feasible region to identify the operating envelopes where process operation is feasible, safe, and profitable. A number of example problems are presented including two case studies to illustrate the applicability of this approach.
Arxiv preprint arXiv:0912.2479, 2009
The ability of an intelligent environment to connect and adapt to real internal sates, needs and ... more The ability of an intelligent environment to connect and adapt to real internal sates, needs and behaviors' meaning of humans can be made possible by considering users' emotional states as contextual parameters. In this paper, we build on enactive psychology and investigate the incorporation of emotions in pervasive systems. We define emotions, and discuss the coding of emotional human markers by smart environments. In addition, we compare some existing works and identify how emotions can be detected and modeled by a pervasive system in order to enhance its service and response to users. Finally, we analyze closely one XML-based language for representing and annotating emotions known as EARL and raise two important issues which pertain to emotion representation and modeling in XML-based languages.