Article
Automation & Control Systems
Basil Mohammed Al-Hadithi, Jose Miguel Adanez, Mayra Comina, Agustin Jimenez
Summary: In this work, a fuzzy predictive optimal control method is proposed for multivariable nonlinear systems with pure time delays. The method uses dynamic local linear state models obtained from fuzzy Takagi-Sugeno (T-S) modeling and observes the state using the Kalman Filter (KF). Compared to traditional Model Predictive Control (MPC) methods, the proposed approach calculates the control signal increment based on the error between a reference state vector and the prediction at N-steps of the state vector, resulting in computational savings and suitability for real-time applications.
IET CONTROL THEORY AND APPLICATIONS
(2022)
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
Mathematics, Applied
Ardak Kashkynbayev, R. Rakkiyappan
Summary: This study investigates the tracking control problem for a cancer-tumor immune nonlinear model. The model is converted into linear sub-models using the Takagi-Sugeno fuzzy methodology. A sample-data output tracking control technique is proposed to track and control cancer cell proliferation while preserving immune cells. The stability criteria are derived based on improved Wirtinger inequality and extend reciprocally convex matrix inequality.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2024)
Article
Computer Science, Artificial Intelligence
Tian-Shun Peng, Hong-Bing Zeng, Wei Wang, Xian-Ming Zhang, Xin-Ge Liu
Summary: This article focuses on the stability and stabilization problem of Takagi-Sugeno (T-S) fuzzy systems with time-varying delay. A new Lyapunov-Krasovskii functional is proposed, which considers more information on the time-varying delay by taking into account the membership functions. Criteria on the stability and stabilization are obtained for the closed-loop system by utilizing an N-order free-matrix-based integral inequality and a switching method. Parameter tuning and an iterative algorithm are developed to calculate control gains. Numerical examples demonstrate that the proposed criteria yield less conservative results compared to existing ones.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
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
Victor C. S. Campos, Luciano Frezzatto, Tiago G. Oliveira, Victor Estrada-Manzo, Marcio F. Braga
Summary: This paper presents an H-infinity event-triggered state-feedback controller design for continuous-time non-linear systems using convex optimization techniques. The proposed method is based on exact discretization and quasi-linear parameter varying representation, and it introduces two sets of design conditions using linear matrix inequalities with parameter-dependent and quadratic Lyapunov functions. Additionally, the proposed conditions estimate the system's domain of attraction and provide an extra set of conditions for a guaranteed minimum time between events. The effectiveness of the proposal is demonstrated through the use of well-known examples.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
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
Computer Science, Artificial Intelligence
Huabin Chen, Cheng-Chew Lim, Peng Shi
Summary: This article investigates the problems of robust exponential stabilization in mean square and H-infinity-based integral sliding mode controller design for uncertain stochastic T-S fuzzy switched time-delay systems. Sufficient conditions are developed to guarantee the robust exponential stability of the resulting closed-loop systems under synchronous and asynchronous switching. The effectiveness of the results is verified through two examples.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
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
Computer Science, Information Systems
Yali Cheng, Taotao Hu, Yonghong Li, Xiaojun Zhang, Shouming Zhong
Summary: This paper investigates the consensus of fractional-order Takagi-Sugeno fuzzy multi-agent systems with time delay, proposing the fractional-order Barbalat lemma and adaptive controllers, as well as constructing new Lyapunov-Krasovskii functions. Consensus criteria are then provided based on the designed controls and functions to guarantee consensus, which is validated through examples.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Information Systems
Imad Eddine Meredef, Mohamed Yacine Hammoudi, Abir Betka, Madina Hamiane, Khalida Mimoune
Summary: This paper investigates the stability and stabilization problem of a Takagi-Sugeno fuzzy system. New sufficient conditions are established using a non-quadratic fuzzy candidate function and some lemmas, which are represented as linear matrix inequalities and solved with a stochastic fractal search. The technique used in this study has the advantage of being less conservative, and a state feedback controller based on a non-quadratic Lyapunov function is designed to obtain stability conditions of the closed loop.
Article
Computer Science, Information Systems
Rupak Datta, Ramasamy Saravanakumar, Rajeeb Dey, Baby Bhattacharya, Choon Ki Ahn
Summary: This research focuses on the stability analysis and stabilization of nonlinear processes characterized by the Takagi-Sugeno fuzzy model with variable time delays. A new integral inequality lemma and a novel stability condition based on linear matrix inequalities were proposed, showing the superiority of the stability criterion and controller design approach over existing methods.
INFORMATION SCIENCES
(2021)
Article
Engineering, Mechanical
Meng-Jie Hu, Ju H. Park, Jun Cheng
Summary: This article investigates the T-S fuzzy delayed sampled-data H-infinity control problem for a class of intelligent suspension systems, proposing a robust fuzzy delayed sampled-data control mechanism and ensuring system stability and performance through Lyapunov stability theory and the Wirtinger inequality in the finite frequency domain. Simulation examples verify the effectiveness and superiority of the proposed controller.
NONLINEAR DYNAMICS
(2021)
Article
Mathematics, Applied
K. Sanjay, R. Vijay Aravind, P. Balasubramaniam
Summary: This article addresses the problem of extended dissipative filtering design for the class of nonlinear interconnected systems with time-varying delays under the cyber attacks. The proposed interconnected systems (ISs) are modeled using the Takagi-Sugeno fuzzy (TSF) IF-THEN rules. The filter design takes into account the sensor delays and the influence of cyber attacks for more practicality.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Engineering, Chemical
C. Rios-Ruiz, G. -L. Osorio-Gordillo, C. -M. Astorga-Zaragoza, M. Darouach, H. Souley-Ali, J. Reyes-Reyes
Summary: This paper discusses the design of a generalized functional observer for Takagi-Sugeno descriptor systems. It introduces a generalized structure for estimating linear functions of the states of descriptor nonlinear systems represented in a Takagi-Sugeno descriptor form. The functional generalized observer structure provides additional degrees of freedom in the observer design, allowing for improved estimation against parametric uncertainties. The effectiveness of the design is demonstrated through the analysis of a nonlinear model of a single link robotic arm with a flexible link, comparing the performance of the functional generalized observer with the functional proportional observer.
Article
Automation & Control Systems
Kamal Mammadov, Cheng-Chew Lim, Peng Shi
Summary: In this manuscript, we formulate the general Target-Attacker-Defender differential game in both continuous-time and discrete-time turn-based variants in n-dimensional Euclidean space. The objective of the Attackers is to get as close as possible to the Target before collision with the Defender, while the Target and Defender coordinate to achieve the opposite. We consider the most general setting for this zero-sum differential game, where the agents can move at different speeds, and prove the Nash equilibrium strategies in the discrete-time turn-based variant.
INTERNATIONAL JOURNAL OF CONTROL
(2022)
Article
Automation & Control Systems
Ting Shi, Peng Shi, Liping Zhang
Summary: This paper investigates the leader-following consensus problem for general linear multi-agent systems under external disturbances. The communication topologies are time-varying and switched from a finite set. A switched control system is introduced to model these topologies, and the weighted L-2 - L-infinity performance is analyzed. A topology-dependent controller is designed based on local information from the neighbors. Conditions are developed for the existence of a control protocol that achieves the leader-following consensus with a certain level of weighted L-2 - L-infinity performance. The design algorithm is formulated as a set of linear matrix inequalities (LMIs), and a numerical example is provided to demonstrate the effectiveness of the proposed consensus algorithm.
INTERNATIONAL JOURNAL OF CONTROL
(2022)
Article
Automation & Control Systems
Renjie Ma, Peng Shi
Summary: This paper presents defense strategies based on switched counteraction principle to protect the secure state estimation (SSE) of Cyber-Physical Systems (CPSs) from sparse data injection (DI) attacks. The physical layer is modeled using a hybrid mechanism and malicious injections are excluded through adaptively switched counteraction searching. The proposed design methods are demonstrated to be effective and promising through numerical examples.
INTERNATIONAL JOURNAL OF CONTROL
(2022)
Article
Engineering, Electrical & Electronic
Zhongrui Hu, Peng Shi, Ligang Wu
Summary: This paper investigates the problem of preserving state and control privacies in a networked system. The research proposes a privacy-preserving control scheme that assigns integer tokens to the combination of affine transforms and qualifying polytopes. Simulation results demonstrate the validity of the proposed scheme.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Automation & Control Systems
Yunfei Yin, Sergio Vazquez, Abraham Marquez, Jianxing Liu, Jose I. Leon, Ligang Wu, Leopoldo G. Franquelo
Summary: This article proposes a novel robust control strategy for three-phase power converters operated under unbalanced grid conditions. The strategy achieves a consolidated control objective in the stationary alpha beta frame and implements current tracking and voltage regulation in a cascaded framework. Experimental results confirm the effectiveness and superiority of the proposed control strategy.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Xiaoning Shen, Jianxing Liu, Abraham Marquez, Yunfei Yin, Jose Leon, Sergio Vazquez, Ligang Wu, Leopoldo G. Franquelo
Summary: In this article, a two-stage control scheme consisting of an adaptive-gain second-order sliding mode (SOSM) controller and a switched high-gain observer (HGO) is proposed for the three-level neutral-point-clamped (NPC) converter. The proposed approach provides faster dynamic response and better steady-state response for the NPC converter compared to the fixed-gain SOSM. By combining the switched HGO with the adaptive-gain SOSM controller, the adverse effects of measurement noise in the power system are greatly reduced. The experiments validate the feasibility and effectiveness of the proposed approach.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Automation & Control Systems
Wensheng Luo, Sergio Vazquez, Jianxing Liu, Francisco Gordillo, Leopoldo G. Franquelo, Ligang Wu
Summary: This article proposes a sliding-mode-observer (SMO)-based control strategy to regulate the dc-link voltage for a three-phase two-level active front end (AFE). The effectiveness and advantage of the proposed control strategy has been verified through theoretical analysis, simulations, and real-application experiments. The results show that the proposed control strategy provides obvious improvement of the dc-link voltage control performance and demonstrates stronger robustness against operating point variations.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Jianxing Liu, Xiaoning Shen, Abraham Marquez, Yunfei Yin, Jose Leon, Sergio Vazquez, Ligang Wu, Leopoldo G. Franquelo
Summary: In this article, a controller based on a nonlinear high-gain observer and second-order sliding mode control strategy is proposed for a three-phase three-level neutral-point-clamped converter. The controller utilizes the advanced sliding mode control algorithm to provide fast dynamic response and good steady-state behavior. Furthermore, a nonlinear high-gain observer technique is combined with the sliding mode control algorithm to minimize the adverse effects of measurement noise.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Computer Science, Information Systems
Lingling Li, Rongni Yang, Zhiguang Feng, Ligang Wu
Summary: This work addresses the problem of event-triggered mechanism and dissipative controller design for discrete-time two-dimensional switched FM systems. By introducing definitions and constructing ETM, the dissipativity analysis and control problems are solved.
INFORMATION SCIENCES
(2022)
Article
Automation & Control Systems
Zhijian Hu, Shichao Liu, Wensheng Luo, Ligang Wu
Summary: This article investigates a novel distributed fuzzy load frequency control (LFC) approach for multiarea power systems under cross-layer attacks. By using Lyapunov theory, sufficient conditions guaranteeing the system's asymptotically stability are proposed, and the method is verified in simulations to enhance resiliency against random cross-layer DoS attacks.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Zhenyi Yuan, Yongyang Xiong, Guanghui Sun, Jianxing Liu, Ligang Wu
Summary: This article investigates the consensus problem in multiagent systems with limited energy supplies and limited communication bandwidth. It proposes a novel approach based on event-triggered communication and state quantization, and introduces a multiple discontinuous sliding-mode surface to compensate for mismatched disturbances. The results show that consensus can be achieved asymptotically for all agents without any Zeno behavior. The work is further extended to self-triggered and periodic event-triggered cases, providing explicit triggering conditions and upper bounds for sampling periods.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Review
Automation & Control Systems
Ligang Wu, Jianxing Liu, Sergio Vazquez, Sudip K. Mazumder
Summary: This paper presents a review of the history and application of sliding mode control (SMC) in power electronic systems. The fundamental theory of SMC is reviewed and the key technical problems associated with its implementation in power converters and drives are discussed. The recent developments, challenges, and future perspectives of SMC in power converters are also explored.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2022)
Article
Engineering, Marine
Yuanjie Ren, Lanyong Zhang, Peng Shi, Ziqi Zhang
Summary: A hierarchical collaborative control energy management scheme is proposed for the propulsion system of hybrid electric ships. The scheme effectively solves the problems of steady-state oscillation and deviation from the tracking direction caused by volatility and uncertainty, achieving significant improvement.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Huiyan Zhang, Hao Sun, Peng Shi, Luis Ismael Minchala
Summary: This article proposes a novel chip detection method that combines attentional feature fusion and cosine nonlocal attention to effectively handle chip images with multiple classes or complex backgrounds. Experimental results demonstrate that the proposed method outperforms the benchmark method on a medium-scale dataset.
Article
Remote Sensing
Yang Fei, Yuan Sun, Peng Shi
Summary: In this study, a hierarchical formation control strategy is used to address the robust formation control problem for a group of UAVs with system uncertainty. A sliding mode neural-based observer is constructed to estimate the nonlinear uncertainty in the UAV model, and sliding mode controllers and differentiators are designed to alleviate chattering in the control input. The proposed control scheme's effectiveness is validated through Lyapunov stability theory and numerical simulations on a multiple-UAV system.
