Article
Automation & Control Systems
Chien-Feng Wu, Chun-Fei Hsu, Chi-Kuang Hwang
Summary: This study proposes a multiobjective H-2/H-infinity fuzzy control design method, which can obtain a Pareto optimal controller through LMIs-constrained MOEA, proposes front-squeezing LMIs-constrained MOEA to solve the computational load problem, and validates the effectiveness of the theory through a simulation example.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2021)
Article
Automation & Control Systems
Wen-Bo Xie, Bo-Lin Xu, Chen Peng, Jian Zhang
Summary: In this paper, an improved piecewise membership functions dependent approach is proposed for the stability analysis issue of a T-S fuzzy system to reduce conservatism. A series of decoupled polynomial functions are approximated to represent the nonlinear membership functions based on a least-square method. Furthermore, a newly proposed derivative-integral nonuniform division approach is adopted to select the piecewise vertices. For the robust tracking control task, a series of convex robust stable conditions are obtained. Finally, the effectiveness of the designed method is illustrated through a mass-spring-damper (MSD) simulation example.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Computer Science, Artificial Intelligence
Mouquan Shen, Yongsheng Ma, Ju H. Park, Qing-Guo Wang
Summary: This article focuses on the fuzzy fault-tolerant tracking control of Markov jump systems with unknown mismatched faults. Proportional-integral observers are established to reconstruct the faults and system states, and the gains are solved using a linear matrix inequality framework. A backstepping-based fuzzy fault-tolerant tracking control scheme is proposed to ensure uniformly ultimately bounded closed-loop system with rebuilt faults and states obtained from an iterative estimation algorithm. Simulations show the effectiveness of the proposed methods.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Chemistry, Multidisciplinary
Monika Rybczak, Kamil Podgorski
Summary: This study analyzed the dynamics of a multidimensional object with an LMI controller based on the Pareto curve. Utilizing the Blue Lady training vessel model controller and MATLAB/Simulink, the research focused on optimizing energy usage and ship dynamics. By applying H-2/H-infinity norms, the study found the Pareto optimal solution for mixed norms to reduce energy consumption in steering-propulsion systems.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Artificial Intelligence
Jiabao He, Feng Xu, Xueqian Wang, Bin Liang
Summary: This article investigates admissibility analysis and robust H-infinity control for fuzzy descriptor systems with norm-bounded uncertainties in parametric matrices. The uncertainties are categorized into two cases, leading to the derivation of admissible conditions and performance criteria for different scenarios. The proposed methods, utilizing strict linear matrix inequalities and a new Lyapunov function, demonstrate improved conservatism compared to existing approaches, as highlighted through simulation examples.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Automation & Control Systems
Guolin Hu, Jian Zhang, Zhiguo Yan
Summary: This paper presents a dynamic output feedback H-infinity control method based on fuzzy Lyapunov functions. By introducing regulable parameters and applying matrix decoupling techniques, less conservative conditions are obtained to guarantee the prescribed H-infinity performance. The effectiveness of the approach is demonstrated through examples provided in the paper.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Engineering, Mechanical
Chao Ge, Chengyuan Liu, Yajuan Liu, Changchun Hua
Summary: This article focuses on adaptive memory-event-triggered control for a class of interval type-2 Takagi-Sugeno fuzzy system subjected to network-induced delays. It proposes a novel adaptive memory-event-triggered mechanism by employing a buffer in the event-triggered module to decrease the burden of network transmission. The proposed mechanism can adaptively adjust the threshold to balance the data releasing rate and control performance. The improved stability conditions are derived using fuzzy membership functions to ensure H infinity performance.
NONLINEAR DYNAMICS
(2023)
Article
Engineering, Civil
Chuan Hu, Yimin Chen, Junmin Wang
Summary: This study proposes a fuzzy-observer-based control method using a Takagi-Sugeno vehicle dynamic model to address path-tracking control issues of autonomous vehicles when GPS is temporarily unavailable, demonstrating its effectiveness through high-fidelity simulations.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Engineering, Mechanical
Wen-Bo Xie, Ming-Hao Guo, Bo-Lin Xu, Xin Wang
Summary: This study investigates a new robust synthesis method for robust fault tolerant control of over-actuated nonlinear systems. It models the nonlinear system using a T-S fuzzy system approach with actuators layout and involves a designed non-parallel distributed compensation form controller. By introducing a more generalized performance index and a newly proposed nonlinear approximation method, a series of linear matrix inequalities are derived to ensure system robust stability. The proposed method is verified through a dynamic positioning vessel control task.
NONLINEAR DYNAMICS
(2021)
Article
Computer Science, Artificial Intelligence
Qian Wang, Qinghua Gu, Lu Chen, Yueping Guo, Naixue Xiong
Summary: This paper proposes an improved multi-objective evolutionary algorithm with global and local cooperative mechanisms for complicated bi-objective optimization problems. The overall optimization is carried out through the coordination of global and local search phases. The proposed algorithm shows great potential for addressing complex bi-objective optimization problems.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Artificial Intelligence
Rong Zhao, Lu Liu, Gang Feng
Summary: This article deals with the finite-frequency H-/H-infinity memory fault detection filtering problem for discrete-time Takagi-Sugeno fuzzy affine systems with norm-bounded uncertainties. It focuses on designing a piecewise affine memory filter using system historical information to ensure the resulting closed-loop filtering error system is asymptotically stable with the prescribed finite-frequency H-/H-infinity performance.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Wen-Bo Xie, Hua Zheng, Ming-Yang Li, Mou-Quan Shen
Summary: An H-infinity observer-controller synthesis method is proposed for the output feedback control problem of a T-S fuzzy system. The method achieves system stability and robust conditions using parallel distributed compensation fuzzy observer and controller. By converting non-convex conditions into convex form, the approach facilitates numerical solving process and considers input saturation and system measurement disturbance for better control performance. The results from numerical and vessel control examples demonstrate the conservatism reduction effects and good control performance of the proposed method.
ASIAN JOURNAL OF CONTROL
(2021)
Article
Computer Science, Information Systems
Mingjing Wang, Xiaoping Li, Yong Dai, Long Chen, Huiling Chen, Ruben Ruiz
Summary: Researchers have developed a method called Copula Incremental Learning (CIL) to improve the performance of the MOEA/D algorithm in problems with irregular Pareto Fronts (PFs) by generating non-uniform direction vectors. They also employ the Niche Hierarchical Selection (NHS) method to construct the neighborhood structure and prevent duplicate solutions. The use of convergence-guided direction (CGD) ensures efficiency by approximating irregular PFs. Statistical analysis shows that this method outperforms other competitive algorithms, particularly in handling multi-objective optimization problems with irregular PFs.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Jaejun Lee, Ji Hyun Moon, Ho Jae Lee
Summary: This paper addresses the robust sampled-data dynamic output-feedback stabilization problems for a singularly perturbed nonlinear system with parametric uncertainties and L-2 or L-infinity disturbances, proposing design conditions based on linear matrix inequalities to ensure prescribed H-infinity and L-infinity disturbance-attenuation levels. Key features include performing sampled-data syntheses in a continuous-time domain and avoiding discrete-time modelling of the T-S fuzzy system.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Wen-Bo Xie, Bing Liu, Lin-Wei Bu, Yu-Long Wang, Jian Zhang
Summary: A new observer-based H-infinity robust synthesis approach is proposed for the output feedback control problem of a Takagi-Sugeno (T-S) fuzzy system with unknown premise variables (UPV) and external disturbances. By using a membership functions constructed vector as new premise variables and decoupling the error items induced by UPV, more relaxed stability and robustness conditions in complex bilinear matrix inequality form are proposed, which can be solved directly by convex optimization method. Finally, a simulation process based on a suspended floater control system is carried out to verify the conservatism reduction effects and the performance of state estimation of the observer and control.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Automation & Control Systems
Yaning Lin, Wenhui Gao, Weihai Zhang
Summary: This paper designs incentive strategies for stochastic Stackelberg games in both finite and infinite horizons. The strategies take into account state-dependent noise and ensure the leader's desired solution. Additionally, the follower can guarantee mean-square stabilization. An algorithm procedure is proposed to effectively obtain the incentive feedback strategy in the infinite horizon. Two examples are provided to demonstrate the effectiveness of the proposed algorithm procedure.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Biochemical Research Methods
Shan-Ju Yeh, Bor-Sen Chen
Summary: This study proposes a systematic approach to investigate the molecular progression mechanisms of gastric cancer and identifies critical biomarkers and corresponding drugs. By utilizing big database mining, system modeling, and deep learning techniques, the study successfully reveals the progression of gastric cancer and suggests potential multi-target drugs.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
(2022)
Article
Engineering, Mechanical
Zunjie Yu, Weihai Zhang
Summary: This study discusses the almost sure consensus of stochastic nonlinear multi-agent systems via event-triggered control. A proposed event trigger protocol with a fixed lower bound on the interval between two consecutive triggers avoids Zeno behavior. Utilizing the stochastic convergence theorem, the almost sure consensus is analyzed without the application of the famous Lyapunov theorem. The proposed theory is verified by a simulation example.
NONLINEAR DYNAMICS
(2023)
Article
Automation & Control Systems
Wenhui Gao, Yaning Lin, Weihai Zhang
Summary: This paper focuses on designing an incentive Stackelberg strategy for discrete-time stochastic systems. It addresses the challenges posed by the involvement of conditional expectation in the design process and proposes solutions for both finite and infinite horizon scenarios while ensuring mean-square stability. Additionally, a specific algorithm procedure is introduced for obtaining the incentive feedback Stackelberg strategy conveniently, and its effectiveness is validated through two examples.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Wei Wei, Tianliang Zhang, Weihai Zhang
Summary: This article focuses on event-triggered finite-time adaptive practical tracking control for uncertain nonstrict-feedback nonlinear systems in the presence of time-varying state constraints and external disturbances. It introduces a disturbance observer to identify compounded disturbances and constructs asymmetric time-varying barrier Lyapunov functions to guarantee that state constraints are not violated. It also develops an event-triggered adaptive controller to reduce communication burden. The proposed control strategy ensures semiglobally practically finite-time stability and convergence of tracking error in a finite time.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Automation & Control Systems
Chien-Feng Wu, Chi-Kwang Hwang, Wei-Yu Chiu
Summary: This paper proposes a method for solving observer-based multi-objective optimal control problems (MOCP) using a Takagi-Sugeno (T-S) fuzzy model to approximate nonlinear stochastic jump-diffusion systems (NSJDS). The problem is transformed into an MOCP with linear matrix inequality (LMI) constraints, and a grid-based front-squeezing searching algorithm (GBFSA) is used to efficiently search for the Pareto front while an approach based on minimum Manhattan distance (MMD) is used to select a preferred Pareto controller.
IET CONTROL THEORY AND APPLICATIONS
(2023)
Article
Automation & Control Systems
Lingrong Xue, Zhen-Guo Liu, Weihai Zhang
Summary: The existing research mainly focuses on controlling systems with constant powers. However, in practical engineering, there are dynamic systems with time-varying powers and uncertain dynamics which make the reported methods inapplicable. This article discusses the control issue of systems with uncertain dynamics and time-varying powers, proposing a new Lyapunov function and a novel recursive design strategy for a semi-global practical finite time controller that accommodates uncertain dynamics and larger range of system powers. Numerical and practical examples validate the effectiveness of the presented strategy.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Yong Zhao, Bingyu Wu, Weihai Zhang
Summary: This article investigates finite-time exponentially extended dissipative filtering for singular Markov jump systems with time-varying delays and quantized outputs. The filter and quantizer are both mode-dependent and their modes are asynchronous with the system modes, which are described by hidden Markov model. The concept of extended dissipativity in infinite-time domain is extended to the finite-time case using a more general performance index named as finite-time exponentially extended dissipativity. Sufficient conditions are established to guarantee that the filtering error dynamics are finite-time stochastically bounded with the exponentially extended dissipative performance by employing a series of novel and effective schemes. An asynchronous filter is successfully designed by solving a set of linear matrices inequalities. Numerical examples are given to demonstrate the effectiveness of the proposed methods.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Jiling Ding, Weihai Zhang
Summary: This paper investigates the tracking control problem of uncertain p-normal nonlinear systems with full-state constraints via event-triggered mechanism. By skillful constructing an adaptive dynamic gain and a time-varying event-triggered strategy, a state-feedback controller is proposed to achieve practical tracking. Compared with the existing event-triggered strategies, the proposed time-varying event-triggered strategy is low-complexity without designing the hyperbolic tangent function.
Article
Engineering, Mechanical
Jiling Ding, Weihai Zhang
Summary: This paper addresses the problem of prescribed performance tracking control for a class of high-order uncertain nonlinear systems with time-varying external disturbances. By utilizing prior system knowledge, a state feedback controller is designed to ensure the prescribed performance requirements of the output tracking error, including steady-state error, convergence rate, and maximum overshoot. Compared to traditional approaches, the proposed controller does not rely on approximation techniques or complex numerical calculations, resulting in lower complexity and strong robustness against system uncertainties. Simulation results are provided to verify the effectiveness of the proposed control scheme.
NONLINEAR DYNAMICS
(2023)
Article
Automation & Control Systems
Liangquan Zhang, Weihai Zhang
Summary: This paper addresses the issue of uniform complete observability of linear stochastic time-varying systems under output feedback and Gramian bounds, using the H-representation method. The study obtains lower and upper bounds for the Gramian of the output feedback stochastic system from the original system, as well as the vice versa. A numerical example is provided to validate the effectiveness of the main result. Uniform complete observability is important for the analysis and synthesis of the Kalman filter.
ASIAN JOURNAL OF CONTROL
(2023)
Article
Computer Science, Information Systems
Mengru Liu, Limin Ma, Weihai Zhang
Summary: This paper focuses on the tracking control problem of state constrained nonlinear systems with unknown dead-zone nonlinearity. The utilization of feasibility nonlinear transformed functions converts the original constrained systems to unconstrained systems and eliminates the difficulty of parameter selection. The proposed control strategy, combining dynamic surface control and adaptive backstepping technology, improves the robustness of the control strategy and ensures the boundedness of signals and the satisfaction of constraints. Two examples are provided to demonstrate the effectiveness of the control strategy.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Chenchen Peng, Weihai Zhang
Summary: This article investigates a mean-field stochastic cooperative linear-quadratic dynamic difference game in an infinite time horizon. It derives the necessary and sufficient conditions for stability, observability, and detectability of mean-field stochastic linear difference systems. The article also characterizes the solvability of cross-coupled generalized Lyapunov equations and the uniqueness of positive-definite solutions. Furthermore, it presents a practical application on computation offloading in multiaccess edge computing network to illustrate the proposed theoretical results.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Computer Science, Information Systems
Bor-Sen Chen, Ting-Wei Hung
Summary: In this study, a local motion planning and robust H-8 decentralized observer-based feedforward reference tracking fault-tolerant control method is proposed for a hybrid UAVs and biped robots team system for search and rescue purposes. A system architecture is introduced to explain the integration of reference trajectory planning and tracking control in the team system. The path planning problem is decomposed into three steps to handle complex search and rescue terrain, and a novel feedforward linearization control scheme is used for the robust H-8 decentralized observer-based feedforward reference tracking FTC design.
Article
Computer Science, Information Systems
Bor-Sen Chen, Hung-Yu Lin
Summary: In this study, an H-infinity attack-tolerant decentralized observer-based formation tracking control strategy is proposed for large-scale LEO satellite teams. The strategy includes embedding smoothing signal models of attack signals in each satellite, efficiently attenuating external disturbance, measurement noise, and coupling effect, and solving the Hamilton Jacobi Isaacs equation using a deep neural network. The proposed method is validated through simulation examples.
