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Article
Automation & Control Systems
Yonghong Lan et al.
Summary: This paper investigates the preview repetitive control problem for a class of Takagi-Sugeno fuzzy systems with parametric uncertainties and external disturbances. A T-S fuzzy model is used to represent the nonlinear plant and a fuzzy EID-based PRC law is employed to improve tracking performance and disturbance attenuation. The design problem is transformed into a stability problem of a continuous-discrete 2D system using a new equality constraint, and a sufficient stability condition is derived in terms of LMI. The LMI-based parametric method for the controller is provided, which is different from the existing LQR-based PRC design method and can be easily achieved using Matlab's LMI Toolbox. The effectiveness and superiority of the developed controller design technique are illustrated through numerical examples.
EUROPEAN JOURNAL OF CONTROL
(2023)
Article
Automation & Control Systems
Xiang-Gui Guo et al.
Summary: This article investigates the security consensus and composite anti-disturbance problems for nonlinear multi-agent systems under stochastic false data injection attacks and multiple disturbances. Disturbance observer and H $_{infinity}$ control method are designed to attenuate the negative effects of disturbances. An observer-based control strategy and a novel adaptive compensation technique are proposed to ensure consensus performance. A novel event-triggered mechanism is developed to reduce controller update frequency and communication burden.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Automation & Control Systems
Xiang Yin et al.
Summary: This article aims to suppress the effects of estimation errors and improve disturbance-suppression performance by connecting multiple artificial disturbances. A parameter p is designed to simplify the conventional EID estimator, and a parallel-EID (PEID) approach is proposed, which has many advantages. The PEID approach outperforms previous studies in disturbance-suppression performance, with a simple and universal configuration. Additionally, a novel virtual filter is designed to transform the PEID-based control system into an equivalent configuration for deriving stability conditions easily. The PEID approach is applied to control the speed of a permanent magnet synchronous motor, and comparisons with other approaches confirm its validity and superiority.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Hao Shen et al.
Summary: This work explores the $H_{infinity }$ synchronization issue for singularly perturbed coupled neural networks (SPCNNs) affected by both nonlinear constraints and gain uncertainties. A novel double-layer switching regulation containing Markov chain and persistent dwell-time switching regulation (PDTSR) is proposed to design a mode-dependent synchronization controller for the network. New sufficient conditions are established to ensure the mean-square exponential stability of the synchronization error systems with the specified level of the $H_{infinity }$ performance.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Engineering, Multidisciplinary
R. Sakthivel et al.
Summary: The aim of this work is to analyze the issues of multiple disturbance estimation and rejection, as well as robust tracking control design for turbofan systems subject to input gain perturbations. A standard generalized extended state observer is developed to estimate both the state disturbances and output measurement disturbances simultaneously. By incorporating the estimates obtained via generalized extended state observer in a modified repetitive controller, a new composite control strategy is developed to attenuate the effect of disturbances. The robust asymptotic stability of the turbofan system is ensured by calculating the observer gain based on the pole placement technique and deriving a set of sufficient conditions using Lyapunov stability theory. The superiority of the developed control strategy is validated through numerical examples with simulation results.
APPLIED MATHEMATICAL MODELLING
(2023)
Article
Computer Science, Artificial Intelligence
Mouquan Shen et al.
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
Automation & Control Systems
Yong-Hong Lan et al.
Summary: This paper investigates the problem of preview repetitive control with equivalent-input-disturbance for a class of continuous-time linear systems in the presence of unknown external disturbances. A preview repetitive control law is obtained using an augmented delay system, state transformation, and optimal control theory, which includes state feedback, tracking error compensation, output of modified repetitive controller, and preview compensation. The proposed method achieves good disturbance estimation and attenuation performance for uncertain systems with unknown external disturbances.
IET CONTROL THEORY AND APPLICATIONS
(2022)
Article
Automation & Control Systems
Yue-E Wang et al.
Summary: This article investigates the stability issue for a class of switched nonlinear systems with time delay and sampling. Two cases of switching signals are discussed, and stability conditions on the switching signal are established, which depend on the delay size, sampling interval upper bound, and dwell time. Finally, a numerical example is provided to illustrate the effectiveness of the proposed results.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Likui Wang et al.
Summary: This article proposes a method for dealing with fuzzy systems with time delay by using a switching method to handle the membership function-dependent Lyapunov-Krasovskii functional. The linear switching method is extended to polynomial matrix switching, and the effectiveness of the developed new results is demonstrated through simulation.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Mathematics, Applied
Xiang Yin et al.
Summary: This paper uses sliding-mode control to compensate for estimation errors in an equivalent-input-disturbance compensator. It presents a method of designing a small switching gain based on the estimation error to solve the chattering problem. The proposed SMC-based-EID control system improves disturbance suppression performance and demonstrates robustness against measurement noise.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Computer Science, Artificial Intelligence
Jing Wang et al.
Summary: This article investigates the sliding mode control issue for a class of discrete-time Takagi-Sugeno fuzzy networked singularly perturbed systems via an observer-based technique. A logarithmic quantizer and a weighted try-once-discard protocol are synthesized to relieve the communication burden and improve the network bandwidth utilization. A novel fuzzy sliding surface is established based on fuzzy observer states, and a sliding mode control law is synthesized to guarantee the reachability of the prescribed sliding surface. Sufficient conditions for the asymptotic stability of the sliding mode dynamics and the error system with expected H-infinity performance are developed using convex optimization theory and Lyapunov approach.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Shi Li et al.
Summary: This article considers the problem of decentralized adaptive fuzzy sampled-data control for switched large-scale nonlinear systems with time-varying delays. Fuzzy logic systems are used to handle unknown nonlinear terms. A novel fuzzy adaptive law is proposed, utilizing only the system states at sampling instants. Additionally, a proper CLF and a new decentralized adaptive sampled-data control law are constructed to ensure boundedness of all states of the CLS. The effectiveness of the developed strategy is verified through two examples.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Jing Wang et al.
Summary: This article investigates the problem of quantized fuzzy control for discrete-time switched nonlinear singularly perturbed systems by introducing the persistent dwell-time switching rule, singular perturbation technique, and interval type-2 Takagi-Sugeno fuzzy model. It deduces some sufficient conditions to ensure stability and expected H infinity performance of the closed-loop system by constructing SPP-dependent multiple Lyapunov-like functions. The gains of the controller are obtained through solving a convex optimization problem, and the correctness of the proposed method and the effectiveness of the designed controller are demonstrated by an explained example.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Junkang Ni et al.
Summary: This article investigates the problem of fixed-time event-triggered output consensus tracking for high-order multiagent systems under directed interaction graphs. It proposes a fixed-time event-triggered distributed observer and triggering functions, and designs an event-triggered adaptive dynamic surface fixed-time controller. The contribution of this article is to present a novel event-triggered fixed-time distributed observer and a novel fixed-time controller, which can achieve practical fixed-time output consensus tracking of high-order MAS under directed interaction graphs.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Computer Science, Information Systems
Kangkang Sun et al.
Summary: A finite-time fuzzy adaptive quantized control scheme is proposed for triangular structural nonlinear systems, introducing a smooth function, barrier Lyapunov function, and command filter to address quantization, output constraints, and computational complexity issues while ensuring convergence of tracking error to a small neighborhood of the origin within a finite time. Simulation results demonstrate the performance and effectiveness of the proposed method.
INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Xiaochen Xie et al.
Summary: In this article, a Bernstein polynomial approach is proposed for estimating reachable sets for a class of periodic piecewise polynomial systems, showing its advantages in handling time-varying parameter products. By integrating a lemma and the theory of matrix polynomials, tractable sufficient conditions are developed, leading to lower conservatism in reachable set estimation.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Bohao Zhu et al.
Summary: This paper investigates the input-output gains of discrete-time and continuous-time positive periodic systems, finding equivalent relationships between l(1)- (L-1-) gain and l(infinity)- (L-infinity-) gain for these systems. Numerical examples are provided to illustrate the results.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Automation & Control Systems
Xiaochen Xie et al.
Summary: This paper compares the theory and effectiveness of two polynomial approaches in analyzing the performance of a type of periodic piecewise polynomial systems. By establishing sufficient conditions and considering four optimization constraints, it demonstrates the lower conservatism achieved by the proposed Bernstein polynomial approach.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Automation & Control Systems
Jun Cheng et al.
Summary: This study introduces a novel hidden Markov model-based control method to address the control problem of periodic systems subject to singular perturbations and Lur'e cone-bounded nonlinearity. New techniques have been developed to handle stochastic Lyapunov functional, ensuring the stochastic stability of the resulting dynamics. An application-oriented example is provided to confirm the effectiveness and applicability of the proposed control strategy.
SYSTEMS & CONTROL LETTERS
(2021)
Article
Automation & Control Systems
Eman Mousavinejad et al.
Summary: This article presents a resilient tracking control system and estimation strategy that can guarantee system performance and the correctness of state estimation when facing cyber attacks. By using recursive computation and convex optimization algorithm, the protection of state and adjustment of control parameters are achieved.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Automation & Control Systems
Liu Yang et al.
Summary: In this article, an event-triggered control with periodic time-varying parameters is designed to stabilize a class of periodic systems with exogenous disturbances in a network environment. The application of output feedback design new event-triggering mechanisms to reduce unnecessary data transmission. The method of approximating the continuous-time periodic system by linear subsystems based on a piecewise method helps reduce theoretical complexity. The proposed control effectively stabilizes the periodic piecewise system.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Computer Science, Artificial Intelligence
Di Zhao et al.
Summary: This article proposes a novel proportional-integral observer (PIO) design approach for the nonfragile H-infinity state estimation problem in discrete-time recurrent neural networks with time-varying delays. The developed PIO offers more design freedom and better steady-state accuracy compared to the conventional Luenberger observer, taking into account randomly occurring gain variations. The designed PIO ensures exponentially stable error dynamics in mean-square sense and achieves the prescribed H-infinity performance index, as demonstrated by sufficient conditions established using the Lyapunov-Krasovskii functional approach and matrix inequality technique.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2021)
Article
Automation & Control Systems
Yun Liu et al.
Summary: This paper investigates non-fragile H-infinity control for periodic piecewise time-varying systems, analyzing the H-infinity performance using Lyapunov function and matrix polynomial properties to design controllers and guarantee system stability and performance.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Automation & Control Systems
Fang Gao et al.
ASIAN JOURNAL OF CONTROL
(2020)
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INTERNATIONAL JOURNAL OF CONTROL
(2020)
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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2020)
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JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2020)
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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
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Automation & Control Systems
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IET CONTROL THEORY AND APPLICATIONS
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INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
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INTERNATIONAL JOURNAL OF CONTROL
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INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
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