Article
Automation & Control Systems
R. Sakthivel, N. Shobana, S. Priyanka, O. M. Kwon
Summary: This study focuses on state tracking and disturbance attenuation for Takagi-Sugeno fuzzy based model with input time-delay through an improved extended state observer based predictive proportional-integral tracking control. A predictive proportional-integral tracking controller is formulated using the Smith-Predictor strategy to address the issue of input time-delay. An improved extended state observer is used to estimate the lumped disturbance, which is combined with the predictive proportional-integral tracking control for disturbance attenuation. Stability criteria and gain matrices are derived using the Lyapunov theory approach. Numerical simulation results are provided to demonstrate the effectiveness of the proposed control system.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Computer Science, Artificial Intelligence
Qunxian Zheng, Shengyuan Xu, Baozhu Du
Summary: This article investigates the quantized guaranteed cost static output feedback control problem for a class of discrete-time nonlinear networked control systems using the Takagi-Sugeno fuzzy model and dynamic quantizers, introducing a novel guaranteed cost performance function and obtaining sufficient conditions through linear matrix inequalities.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Chunyan Han, Song Zhang, Wei Wang, Tao Shen
Summary: This article focuses on the optimal control and stabilization of discrete-time networked control systems (NCSs) with Markovian fading channels. A new multistate Markov chain is introduced to overcome the difficulties caused by multi-channel packet losses and the correlation of the Markov chain. The optimal control and stabilization problem for NCSs with diagonal Markovian fading channels is transformed into a general Markovian jump linear system. A modified maximum principle is presented using a forward-backward stochastic difference equation (FBSDE). For both finite and infinite horizon cases, necessary and sufficient solvability conditions for optimal control and stabilization are obtained, along with explicit expressions for the optimal controller. The proposed results are illustrated through a numerical example.
OPTIMAL CONTROL APPLICATIONS & METHODS
(2023)
Article
Mathematics, Applied
Yong-Sheng Ma, Wei-Wei Che, Chao Deng
Summary: This paper studies the observer-based fuzzy containment control problem of nonlinear networked multi-agent systems (MASs) under denial-of-service (DoS) attacks. The proposed method utilizes a fuzzy model and an observer design method to develop a resilient containment controller to counter DoS attacks. Simulation results demonstrate the effectiveness of the designed fuzzy observer and containment controller.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Automation & Control Systems
Zhi-Min Li, Xiao-Heng Chang, Ju H. Park
Summary: This article studies the H-infinity static output feedback tracking control problem for discrete-time nonlinear networked systems subject to quantization effects and asynchronous event-triggered constraints, using the Takagi-Sugeno fuzzy model and a novel asynchronous event-triggered strategy. The goal is to design a quantized event-triggered tracking controller that ensures system stability and H-infinity tracking performance, with design conditions formulated as linear matrix inequalities (LMIs) and effectiveness demonstrated through simulation example.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Computer Science, Information Systems
Wei Zheng, Zhiming Zhang, Fuchun Sun, Shuhuan Wen
Summary: In this study, the interval type-2 Takagi-Sugeno (T-S) fuzzy system model was utilized, with multiple time-varying additive uncertainties introduced in the controller design. The less conservative stability conditions were derived using delay-dependent Lyapunov-Krasovskii functional with double integral terms.
INFORMATION SCIENCES
(2022)
Article
Automation & Control Systems
Xiaowei Jiang, Jianhao Li, Bo Li, Xiangyong Chen, Huaicheng Yan
Summary: This study focuses on the optimal tracking performance (OTP) of networked control systems (NCSs) considering packet dropouts and noise constraints in communication networks, and provides explicit expressions for the OTP limitation under these constraints. The results indicate that the intrinsic features of the plant and the communication parameters of the network channel will affect the OTP of the NCSs.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Zhi-Min Li, Xiao-Heng Chang, Jun Xiong
Summary: This article investigates the problem of event-based output feedback tracking control for discrete-time nonlinear networked systems with dynamic quantization. The Takagi-Sugeno (T-S) fuzzy systems theory is utilized to approximate the investigated nonlinear systems. Three general dynamic quantizers and an improved asynchronous event-triggering communication scheme are carried out to decrease the amount of data in the communication of network and realize the rational utilization of limited communication resources. The objective is to design an event-based static output feedback tracking controller for achieving asymptotical stabilization and predefined tracking performance in the presence of dynamic quantization, and the parameters for the desired dynamic quantizers and tracking controller can be obtained simultaneously by solving a set of linear matrix inequalities. Finally, simulation responses are provided to demonstrate the validity of the proposed tracking control strategy.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Mathematics, Interdisciplinary Applications
Rajarathinam Vadivel, Porpattama Hammachukiattikul, Seralan Vinoth, Kantapon Chaisena, Nallappan Gunasekaran
Summary: This study presents an extended dissipative analysis of a fractional order fuzzy networked control system with uncertain parameters. A network-based fuzzy controller is designed for the model, and a new Lyapunov-Krasovskii functional approach, inequality techniques, and sufficient conditions are established to ensure quadratic stability under the extended dissipative criteria. The conditions are expressed as linear matrix inequalities (LMIs), and the controller gains are designed for larger sampling intervals. Two numerical examples are provided to demonstrate the viability of the obtained criteria.
FRACTAL AND FRACTIONAL
(2022)
Article
Computer Science, Information Systems
Di Mao, Yuechao Ma
Summary: This paper focuses on the dissipative stability analysis of Takagi-Sugeno fuzzy system (TSFS) with consideration of both delays and packet dropouts. A novel augmented Lyapunov-Krasovskii functional (LKF) is proposed using delay-dependent matrix, providing information on delay derivative bounds. By applying the dynamic delay partition method, the delay interval is divided into several subintervals, which utilize time-varying delay information effectively. The randomly occurring asynchronous or synchronous controllers are introduced to enhance design flexibility and control performance. The sufficient asymptotic stability condition is derived in the form of linear matrix inequalities (LMIs) based on the new augmented LKF and improved boundary techniques. Numerical examples are provided to demonstrate the feasibility and advantages of the proposed methodology.
INFORMATION SCIENCES
(2022)
Article
Automation & Control Systems
Shicheng Huo, Feng Li
Summary: This paper investigates the Script capital H infinity control problem based on hidden Markov model for nonlinear Markov jump systems under multichannel random attacks using Takagi-Sugeno fuzzy model. The hidden Markov model is used to describe the asynchronous mode phenomenon between controller and system. By selecting a compatible Lyapunov function, sufficient conditions are developed to achieve stochastic stability with a prescribed Script capital H infinity performance for the closed-loop system. Two examples are provided to validate the proposed technique.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Mathematics, Applied
Venkatesan Nithya, Rathinasamy Sakthivel, Fanchao Kong, Veeralpatti Thangavel Suveetha
Summary: This paper focuses on the problem of mixed H infinity and passivity-based filtering for networked nonlinear systems with randomly occurring parameter uncertainties, multipath data packet dropouts, time-varying delay, and quantization effects. It models the discrete-time nonlinear plant as a Takagi-Sugeno fuzzy system with plant rules. The paper considers both measurement and performance output signals affected by data missing phenomenon and employs measurement quantization to reduce network bandwidth utilization. It derives a set of sufficient conditions for stochastic stability of the filtering error system using Lyapunov stability theory. Numerical examples are provided to validate the developed filter design algorithm, including mass-spring-damper and tunnel diode circuit models.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Xin Ye, Shaoxin Sun, Tao Jiang, Xiaojie Su
Summary: This article investigates the problem of finite-time control for multiple time-delayed large-scale nonlinear systems, using the Takagi-Sugeno fuzzy model. It designs a dynamic output feedback controller and provides sufficient conditions for finite-time control using fuzzy Lyapunov function. The feasibility of the approach is verified through simulation examples.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Tianwei Zhou, Zhiqiang Zuo, Yijing Wang
Summary: This paper introduces a novel active event-triggered control scheme for nonlinear networked control systems with quantizer, network-induced delay, and packet dropout. By considering the structure of the hysteresis quantizer and actively compensating for the negative effects of network-induced delay and potential packet dropout, the proposed method achieves a more balanced updating frequency and reduced total triggering.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Computer Science, Artificial Intelligence
Hao-Yuan Sun, Hong-Gui Han, Jian Sun, Hong-Yan Yang, Jun-Fei Qiao
Summary: This article investigates the security control problem of sampled-data Takagi-Sugeno (T-S) fuzzy systems subject to cyberattacks and successive packet losses. A novel successive packet loss modeling method is proposed with some basic assumptions. The sufficient conditions to guarantee the security degree are derived and a fuzzy security controller is designed based on linear matrix inequalities. A benchmark example is given to demonstrate the validity of the proposed approach.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
