Jiabao He - Academia.edu (original) (raw)

Papers by Jiabao He

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)

In this paper, a Takagi-Sugeno (T-S) fuzzy descriptor approach for control of a two-link free-flo... more In this paper, a Takagi-Sugeno (T-S) fuzzy descriptor approach for control of a two-link free-floating space manipulator (FFSM) is proposed. The T-S fuzzy descriptor model of the FFSM is first derived from its nonlinear dynamic model, which makes more sense in reality since it avoids the use of joint acceleration measurement and the inversion of inertia matrix. And some nonlinear terms are considered as uncertainties to balance the complexity and accuracy of the model. Then a robust controller based on the Lyapunov stability theory is designed and reformulated as a linear matrix inequality (LMI) optimization problem which can be efficiently solved with the solver SeduMi. Finally, simulation results are carried out with the SimMechanics to demonstrate the effectiveness of the proposed approach.

Cornell University - arXiv, Mar 14, 2022

Given the recent surge of interest in data-driven control, this paper proposes a two-step method ... more Given the recent surge of interest in data-driven control, this paper proposes a two-step method to study robust data-driven control for a parameter-unknown linear timeinvariant (LTI) system that is affected by energy-bounded noises. First, two data experiments are designed and corresponding data are collected, then the investigated system is equivalently written into a data-based descriptor system with structured parametric uncertainties. Second, combined with model-based control theory for descriptor systems, state feedback controllers are designed for such data-based descriptor system, which stabilize the original LTI system and guarantee the H∞ performance. Finally, a simulation example is provided to illustrate the effectiveness and merits of our method.

Cornell University - arXiv, Dec 7, 2021

For a parameter-unknown linear descriptor system, this paper proposes data-driven methods to test... more For a parameter-unknown linear descriptor system, this paper proposes data-driven methods to testify the system's type and controllability and then to stabilize it. First, a databased condition is developed to identify whether this unknown system is a descriptor system or is equivalent to a normal system. Furthermore, various controllability concepts are testified by replacing the descriptor system's matrices with data. Finally, a data-based decomposing method is proposed to transfer the nominal system into its slow-fast subsystems' form, so that a state feedback controller for the slow subsystem can be obtained from persistently exciting input and state sequences. Meanwhile, due to the equivalent stabilizability between the nominal system and its slow subsystem, a state feedback controller which stabilizes the nominal system is also obtained. A simulation example is provided to illustrate the effectiveness of those methods.

European Radiology, 2020

Objectives Despite improved survival due to new treatments, the 10-year survival rate in patients... more Objectives Despite improved survival due to new treatments, the 10-year survival rate in patients with breast cancer is approximately 75%. Lymphovascular invasion (LVI), a prognostic marker independent from histological grade and stage, can only be fully determined at final histological examination. Lipid composition is deregulated in tumour via de novo lipogenesis, with alteration in lipogenic genes in LVI. We hypothesise alteration in lipid composition derived from novel non-invasive spectroscopy method is associated with LVI positivity. Methods Thirty female patients (age 39–78) with invasive ductal carcinoma were enrolled, with 13 LVI negative and 17 LVI positive. Saturated, monounsaturated, polyunsaturated fatty acids and triglycerides (SFA, MUFA, PUFA and TRG) were quantified from ex vivo breast tumours freshly excised from patients on a 3 T clinical MRI scanner, and proliferative activity marker Ki-67 and serotonin derived histologically. Results There were significantly lowe...

2017 IEEE International Conference on Information and Automation (ICIA), 2017

In deep neural networks, inputs in each layer are affected by all previous parameters of input la... more In deep neural networks, inputs in each layer are affected by all previous parameters of input layers, so even small changes in input distributions to the network are delivered to internal layers, for leading to differences between source domain and target domain, which is known as covariate shift. Batch Normalization(BN) is designed to address the issue, and makes normalization for each training mini-batch. However, the mechanism of BN dealing with covariate shift is not explained in detail. This paper describes the usefulness of BN from the perspective of the physical buckling. Based on the above view, BN can be treated as two kinds of constraints: fixed and pinned. They will affect the distribution of data and neural network training. We compare a simple Convolutional Neural Network(CNN) with BN and a CNN without BN on the MNIST dataset, and we need to get the data of distribution changes in the training process. Also, the distance of different layers calculated by the Earth mover's distance algorithm in the training process is presented to explain both effectiveness and advantages of the covariate shift.

ISA Transactions, 2021

Several methods to improve stabilization conditions of Takagi-Sugeno fuzzy descriptor systems (TS... more Several methods to improve stabilization conditions of Takagi-Sugeno fuzzy descriptor systems (TSFDS) are presented. First, we prove that with a modified non-quadratic fuzzy Lyapunov function and a PDC controller, stabilization problems of TSFDS are reformulated as checking negativity of "triple" fuzzy summations, and then relaxed methods of T-S fuzzy systems can be directly applied to descriptor systems. In the sequel, two relaxed methods are extended to TSFDS based on slack decision variables and Polya's Theorem, respectively, but these conditions are only sufficient. Second, we design a non-quadratic fuzzy Lyapunov function which simultaneously consists of membership functions of derivative matrices and state matrices, and it generalizes previous related Lyapunov functions. Then with a non-PDC controller, not only sufficient but asymptotically necessary conditions for TSFDS are presented based on Polya's theorem. All conditions are cast into LMIs, and simulation examples illustrate improvements and effectiveness of these methods.

2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2020

This paper considers the admissibility and robust stabilization via state feedback for continuous... more This paper considers the admissibility and robust stabilization via state feedback for continuous-time T-S fuzzy descriptor systems (TSFDS) with a class of uncertainties. First, the admissibility of the nominal system without uncertainties is investigated. An equivalent augmented system is presented to deal with different and singular derivative matrices. Then, admissible conditions for the open-loop and close-loop systems are both derived based on a non-quadratic fuzzy Lyapunov function. Second, the admissibility and robust stabilization of TSFDS with uncertainties in all matrices are investigated. The uncertainty in each derivative matrix is equivalently expressed by a constant matrix left multiplied by an invertible uncertain matrix so that a similar augmented system can be constructed. Then admissible conditions are derived. This paper generalizes existing related results since we consider a wider class of TSFDS with different derivative matrices and different membership functions in each subsystem. All conditions are expressed as strict linear matrix inequalities (LMIs). Finally, a simulation example is provided to show effectiveness of the proposed results.

2019 14th International Conference on Computer Science & Education (ICCSE), 2019

The metrological verification certificate is an important basis for the metrology instrument to b... more The metrological verification certificate is an important basis for the metrology instrument to be verified by the statutory verification agency. The verification result affects whether the measuring instrument can be used normally again. With the development of computer network technology, electric certification has been widely promoted and applied due to its low cost and easy to check characteristics. The authenticity of electric certification is the basis of practical application, how to ensure its uniqueness, integrity and Non-destructible metrology will have a significant impact on metrological verification. Blockchain technology uses a decentralized distributed network structure. Once the data information is added to the main chain through hash algorithm, Merkle tree structure, asymmetric key encryption technology and consensus mechanism verification, it will be saved and cannot be Make malicious modifying or deletion. On the basis of summarizing the blockchain anti-modifying technology, the article applies the principle and method of blockchain related technology to the feasibility of measuring electric certification to meet the requirements of ensuring the uniqueness and authenticity of electric certification.

European Journal of Surgical Oncology, 2021

International Journal of Simulation Systems Science & Technology, 2012

Throughput plays a vital role for data transfer in Vehicular Networks which is useful for both sa... more Throughput plays a vital role for data transfer in Vehicular Networks which is useful for both safety and non-safety applications. An algorithm that adapts to mobile environment by using Context information has been proposed in this paper. Since one of the problems of existing rate adaptation algorithm is underutilization of link capacity in Vehicular environments, we have demonstrated that in wireless and mobile environments, vehicles can adapt to high mobility link condition and still perform better due to regular vehicles that will be out of communication range due to range checking and then de-congest the network thereby making the system perform better since fewer vehicles will contend for network resources. In this paper, we have design, implement and analyze ACARS, a more robust algorithm with significant increase in throughput performance and energy efficiency in the mist of high mobility of vehicles.

Emerging Trends in Intelligent and Interactive Systems and Applications, 2020

Scientific Reports, 2020

Lipid composition in breast cancer, a central marker of disease progression, can be non-invasivel... more Lipid composition in breast cancer, a central marker of disease progression, can be non-invasively quantified using 2D MRS method of double quantum filtered correlation spectroscopy (DQF-COSY). The low signal to noise ratio (SNR), arising from signal retention of only 25% and depleted lipids within tumour, demands improvement approaches beyond signal averaging for clinically viable applications. We therefore adapted and examined combination algorithms, designed for 1D MRS, for 2D MRS with both internal and external references. Lipid composition spectra were acquired from 17 breast tumour specimens, 15 healthy female volunteers and 25 patients with breast cancer on a clinical 3 T MRI scanner. Whitened singular value decomposition (WSVD) with internal reference yielded maximal SNR with an improvement of 53.3% (40.3–106.9%) in specimens, 84.4 ± 40.6% in volunteers, 96.9 ± 54.2% in peritumoural adipose tissue and 52.4% (25.1–108.0%) in tumours in vivo. Non-uniformity, as variance of imp...

2019 International Conference on Document Analysis and Recognition (ICDAR), 2019

Scanned receipts OCR and key information extraction (SROIE) represent the processeses of recogniz... more Scanned receipts OCR and key information extraction (SROIE) represent the processeses of recognizing text from scanned receipts and extracting key texts from them and save the extracted tests to structured documents. SROIE plays critical roles for many document analysis applications and holds great commercial potentials, but very little research works and advances have been published in this area. In recognition of the technical challenges, importance and huge commercial potentials of SROIE, we organized the ICDAR 2019 competition on SROIE. In this competition, we set up three tasks, namely, Scanned Receipt Text Localisation (Task 1), Scanned Receipt OCR (Task 2) and Key Information Extraction from Scanned Receipts (Task 3). A new dataset with 1000 whole scanned receipt images and annotations is created for the competition. The competition opened on 10th February, 2019 and closed on 5th May, 2019. There are 29, 24 and 18 valide submissions received for the three competition tasks, respectively. In this report we will presents the motivation, competition datasets, task definition, evaluation protocol, submission statistics, performance of submitted methods and results analysis. According to the wide interests gained through SROIE and the healthy number of submissions from academic, research institutes and industry over different countries, we believe the competition SROIE is successful. And it is interesting to observe many new ideas and approaches are proposed for the new competition task set on key information extraction. According to the performance of the submissions, we believe there is still a large gap on the expected information extraction performance. Task of key information extraction is still very challenging and can be set for many other important document analysis applications. It is hoped that this competition will help draw more attention from the community and promote research and development efforts on SROIE.

$Research paper thumbnail of Admissibility Analysis and Robust <math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mi>H</mi><mi mathvariant="normal">∞</mi></msub></mrow><annotation encoding="application/x-tex">{H_\infty }</annotation></semantics></math>H∞ Control for T–S Fuzzy Descriptor Systems With Structured Parametric Uncertainties$

IEEE Transactions on Fuzzy Systems, 2020

This article considers admissibility analysis and robust <inline-formula><tex-math notat... more This article considers admissibility analysis and robust <inline-formula><tex-math notation="LaTeX">${H_\infty }$</tex-math></inline-formula> control for continuous-time Takagi–Sugeno fuzzy descriptor systems with norm-bounded uncertainties in all parametric matrices. The system under consideration contains singular derivative matrices and different membership functions, thus it generalizes other related forms. First, uncertainties in derivative matrices are divided into two cases, i.e., one is expressed by a constant matrix left multiplied by an invertible uncertain matrix and the other is produced by its dual form. Then, admissible conditions and <inline-formula><tex-math notation="LaTeX">${H_\infty }$</tex-math></inline-formula> performance for the system with the first case of uncertainties are derived based on a new augmented system. As for the second case, the admissibility analysis is converted into the first case by an equivalent companion system then solved as well. All conditions are cast into strict linear matrix inequalities. Besides, due to the introduction of a new nonquadratic fuzzy Lyapunov function and slack decision variables, the proposed methods are less conservative than related ones. Finally, simulation examples are provided to illustrate improvements and effectiveness of the main results.

British Journal of Cancer, 2020

Background Precision medicine in breast cancer demands markers sensitive to early treatment respo... more Background Precision medicine in breast cancer demands markers sensitive to early treatment response. Aerobic glycolysis (AG) upregulates lactate dehydrogenase A (LDH-A) with elevated lactate production; however, existing approaches for lactate quantification are either invasive or impractical clinically. Methods Thirty female patients (age 39–78 years, 15 grade II and 15 grade III) with invasive ductal carcinoma were enrolled. Lactate concentration was quantified from freshly excised whole tumours with double quantum filtered (DQF) magnetic resonance spectroscopy (MRS), and Nottingham Prognostic Index (NPI), LDH-A and proliferative marker Ki-67 were assessed histologically. Results There was a significantly higher lactate concentration (t = 2.2224, p = 0.0349) in grade III (7.7 ± 2.9 mM) than in grade II (5.5 ± 2.4 mM). Lactate concentration was correlated with NPI (ρ = 0.3618, p = 0.0495), but not with Ki-67 (ρ = 0.3041, p = 0.1023) or tumour size (r = 0.1716, p = 0.3645). Lactate...

International Journal of Stroke, 2014

Introduction: Impaired cough is associated with higher incidence of pneumonia in acute stroke pat... more Introduction: Impaired cough is associated with higher incidence of pneumonia in acute stroke patients. RMT may improve respiratory muscle and cough function and reduce pneumonia risk. We investigated whether RMT improves cough flow and respiratory muscle function in acute stroke patients. Method: We conducted a single-blind randomised placebo-controlled trial in stroke patients within 2 weeks of onset. Participants were masked to treatment allocation and randomised to 4 weeks of daily inspiratory, expiratory or sham training, using threshold resistance devices. Primary outcome was the change in Peak Expiratory Flow (PEF) of maximal voluntary cough from baseline to 4 weeks. Results: Participants (n = 82, 49 men) had a mean age of 64 (SD 14) years and a median National Institutes of Health Stroke Scale (NIHSS) score of 8 (range 3–25). Mean (SEM) outcomes for the inspiratory, expiratory and sham training group, respectively, were: change in PEF of voluntary cough of 91 (42), 49 (27) and 84 (34) L/min, p = 0.46; change in PEF of reflex cough of –4 (28), 17 (19) and 32 (18) L/min, p = 0.41; change in maximal expiratory mouth pressure of 20 (4), 12 (3) and 12 (4) cmH2O, p = 0.35; and change in maximal inspiratory mouth pressure of 18 (4), 10 (3) and 14 (3) cmH2O, p = 0.40. Pneumonia occurred in 3 (11%), 6 (21%) and 4 (15%) participants per group, respectively (p = 0.65). Discussion: PEF of voluntary cough and maximal mouth pressures improved in all groups, but there was no treatment effect of the interventions. RMT did not augment natural recovery of cough in stroke patients.

Arthritis Care & Research, 2019

Objective: This study aimed to investigate the potential structural and metabolic role of skeleta... more Objective: This study aimed to investigate the potential structural and metabolic role of skeletal muscle in SLE related fatigue. Methods: A case control, multi-modal MRI study was conducted. Cases were inactive SLE patients who reported chronic fatigue. Controls were age/sex matched healthy members of the general population. Participants were clinically characterised and then underwent a 3T whole body MRI scan. Resting and dynamic 31 Phosphorous Magnetic Resonance Spectroscopy (MRS) of the calf muscles was applied from which phosphocreatine recovery half time (PCr), a marker of mitochondrial dysfunction, was computed. In addition, microstructural sequences (T1-weighted anatomical images, T2 mapping and diffusion tensor imaging) were acquired. Descriptive statistics evaluated group differences and within case physical fatigue correlations were explored. Results: Of the 37 recruits (mean age= 43.8 years, 89.2% female), cases (n=19) reported higher levels of physical fatigue, pain, depression and sleep disturbance compared to the control group (p<0.0001). PCr was greater (p=0.045) among cases (33.0+/-9.0s) compared to controls (27.1+/-6.6s). No micro-structural group differences were observed. Within cases, physical fatigue did not correlate with PCr (r=-0.28, p=0.25). Conclusion: We report preliminary data evidencing greater skeletal muscle mitochondrial dysfunction among fatigued SLE patients compared to healthy controls. Significance and innovations: • SLE related fatigue does not appear to be implicated with abnormal skeletal muscle microstructure • SLE patients evidence higher levels of skeletal muscle mitochondrial dysfunction