Article
Automation & Control Systems
Renan L. Pereira, Matheus S. de Oliveira
Summary: This technical article proposes new robust stabilization conditions for discrete-time linear parameter-varying (LPV) systems with linear fractional representation (LFR). The proposed conditions rely on the use of slack variables and decision matrices associated with the LFR approach to provide new controller designs. The article also addresses parameter-dependent Lyapunov functions and full-block multipliers to obtain less conservative synthesis conditions for discrete-time LPV/LFR systems. Design conditions are formulated as linear matrix inequalities to generate robust state-feedback and output-feedback controllers. Numerical examples demonstrate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Huazhou Hou, Xinghuo Yu, Zao Fu
Summary: This article investigates the design problem of sliding-mode control for uncertain time-varying delayed systems. A novel approach with non-negative constraints is proposed to determine the stability of controlled systems during the sliding motion. A new stability condition is obtained, which is easy to satisfy and verify. The sliding-mode surface parameters can be calculated by solving the optimization problem based on non-negative constraints. Simulation examples are used to illustrate the effectiveness and advantages of the proposed strategy.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Jin Zhang, Emilia Fridman
Summary: This article investigates the digital implementation of derivative-dependent control for consensus of stochastic multiagent systems, approximating consensus controllers that rely on output and its derivatives as delayed sampled-data controllers. Novel Lyapunov functionals are proposed for consensus analysis to derive linear matrix inequalities for finding an acceptable sampling period, with efficiency demonstrated through numerical examples.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Chemistry, Physical
Mohammed Yousri Silaa, Aissa Bencherif, Oscar Barambones
Summary: This study compares novel robust adaptive sliding mode control (ASMCSGD) with the super twisting algorithm (STA) for the proton exchange membrane fuel cell (PEMFC) power system. The ASMCSGD is based on conventional sliding mode control (SMC) and uses stochastic gradient descent (SGD) to minimize the chattering phenomenon and ensure robustness. The stability of the PEMFC power system for both ASMCSGD and STA controllers is demonstrated.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Automation & Control Systems
Alain S. O. U. P. T. E. W. A. KAMMOGNE, Vannick F. O. P. A. MAWAMBA, Jacquescountry KENGNE
Summary: This paper discusses the robust fuzzy sliding mode synchronization of uncertain nonlinear systems and designs a relevant control law to ensure the boundedness of dynamical errors within a prescribed time. The study presents sufficient conditions using stability analysis and linear matrix inequalities, demonstrating the effectiveness and reachability of the proposed control scheme. Simulation results on the chaotic Chua system validate the superiority of FSMC over SMC in terms of robustness.
EUROPEAN JOURNAL OF CONTROL
(2021)
Article
Energy & Fuels
Ashkan Taherkhani, Farhad Bayat, Kaveh Hooshmandi, Andrzej Bartoszewicz
Summary: This paper proposes a generalized sliding mode observer design method for robust reconstruction of sensors and actuators faults in the presence of unknown disturbances and uncertainties. The method considers the effect of uncertainty and disturbance on the system in generalized state-space form and combines the LMI tool with the concept of an equivalent output error injection method to reduce their effects on the reconstruction process. The simulation results demonstrate the robust performance of the proposed approach in the presence of unknown perturbations and uncertainties.
Article
Energy & Fuels
Milad Gholami, Alessandro Pilloni, Alessandro Pisano, Elio Usai
Summary: This paper focuses on robust distributed secondary voltage restoration control of AC microgrids under multiple communication delays and nonlinear model uncertainties. A multi-agent approach is used to address the problem, with robustness achieved through the use of an integral sliding mode control term. Global voltage restoration stability is demonstrated through a Lyapunov-Krasovskii analysis, despite the presence of communication delays.
Article
Automation & Control Systems
Julian Berberich, Carsten W. Scherer, Frank Allgower
Summary: We propose a framework for robust controller design by systematically combining data of an unknown linear time-invariant system with prior knowledge on the system matrices or uncertainty. Our approach uses linear matrix inequality (LMI)-based feasibility criteria to guarantee stability and performance robustly for all closed-loop systems consistent with the prior knowledge and available data. The design procedures involve the combination of multipliers inferred via prior knowledge and learnt from measured data, with a novel disturbance description employed for the latter. Extensions to robust output-feedback design and against nonlinear uncertainties are also provided.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Seong-Min Lee, Minho Shin, Hungsun Son
Summary: This article presents a robust predictor-based sliding-mode control (RPSMC) for multirotor unmanned aerial vehicles (UAVs) to ensure desired tracking control under time delays. The RPSMC with future disturbance prediction and reference trajectory is developed to minimize the effects of time delay and external disturbances. Numerical simulations and experimental results demonstrate the robustness and performance of the RPSMC for UAVs in the presence of various time delays and disturbances.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Fang Liu, Qianyi Liu, Weiru Guo, Yong Li
Summary: This paper focuses on the stochastic stability of Markovian jump systems with two additive mode-dependent time-varying delays and partially known transition rates. A novel mode-dependent Lyapunov-Krasovskii functional is constructed, and stability criteria in terms of linear matrix inequalities are obtained. Numerical examples are presented to illustrate the feasibility of the proposed method.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Mathematics, Applied
Yude Ji, Xitong Ma, Luyao Wang, Yanqing Xing
Summary: This paper proposes a stability analysis strategy for continuous linear systems with two additive time-varying delays. A novel Lyapunov-Krasovskii functional (LKF) is constructed for analysis, and the derivative of LKF is estimated using specific inequalities. The delay-dependent stability criteria are established within a linear matrix inequalities framework.
Article
Computer Science, Information Systems
Imran Ghous, Jian Lu, Zhaoxia Duan
Summary: This work investigates the stability and stabilization problems of memristive neural networks (MNNs) considering time-varying delay and external disturbance. The MNNs are transformed into a tractable model by defining logical switched functions. A new Lyapunov-Krasovskii functional is proposed to study the exponential stability (ES) problem of the transformed MNNs model. The design scheme of a state feedback controller is devised to ensure the stability of the overall closed-loop system. The efficacy of the proposed results is demonstrated through suitable examples.
INFORMATION SCIENCES
(2022)
Article
Automation & Control Systems
Tobias Holicki, Carsten W. Scherer
Summary: A convex solution to the robust gain-scheduled estimation problem with integral quadratic constraints and dynamic D-scalings is provided in this work, closing an important gap in current methods. Novel synthesis criteria in terms of linear matrix inequalities are introduced for the design of nominal gain-scheduled estimators, which can be directly combined with existing results on robust estimation. The benefits of this design approach are illustrated through a numerical example.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Qingsong Xu
Summary: This article presents a novel adaptive integral terminal third-order finite-time sliding-mode control strategy for motion tracking control of a piezoelectric-driven nanopositioning system. The controller achieves finite-time convergence and chattering-free control action while estimating model uncertainty and updating control gains adaptively. Stability of the control strategy is proven through Lyapunov analysis, enabling precise third-order sliding-mode control and pre-specification of tracking error boundaries for the nanopositioning system. Results from simulations and experiments demonstrate the robust tracking performance of the developed controller in the presence of model uncertainty and external disturbances.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Automation & Control Systems
Yongshun Zhao, Xiaodi Li, Shiji Song
Summary: This article studies the stabilization problem of mismatched disturbance systems with or without time delays using observed-based sliding mode control (SMC). Two SMC schemes are considered for systems with time delay and without time delay, respectively. Stability conditions for sliding motion are derived using Lyapunov-Krasovskii functional and Lyapunov function approach, applicable when the bound of disturbances are unmeasured or unknown.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Zhong-Hua Pang, Cheng-Gang Xia, Ji Zhang, Qing-Long Han, Guo-Ping Liu
Summary: This brief introduces a networked model predictive control (MPC) strategy for the finite-time convergence of networked control systems with two-channel random communication constraints. It transforms network-induced delays and packet dropouts into equivalent delays in each channel, which are actively compensated in the controller and actuator. By using a finite-time MPC strategy, future control inputs are obtained, and the upper bound of the convergence time is analytically determined. The proposed scheme is verified through a numerical simulation of a mass-spring-damper system.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Engineering, Electrical & Electronic
Wei Chen, Lu Liu, Guo-Ping Liu
Summary: This paper addresses the privacy-preserving distributed economic dispatch problem in microgrids. A homomorphically encrypted consensus algorithm is developed to achieve optimal power distribution with the least cost while preventing sensitive information leakage. A novel estimator-like dynamic quantizer is constructed to facilitate data encryption. Mathematical induction and matrix norms are utilized to ensure unsaturated quantization output and exact consensus. The additive homomorphic property of the Paillier algorithm is employed to embed secrecy in pairwise interaction dynamics, ensuring the distributed algorithm converges to the optimal value without disclosing private or sensitive state information. Case studies validate the feasibility and validity of the privacy-preserving economic dispatch scheme in IEEE 39-bus power systems.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Automation & Control Systems
Da-Wei Zhang, Guo-Ping Liu, Lei Cao
Summary: This research focuses on the cooperative control of high-order fully actuated networked multiagent systems with communication delays. A proportional integral predictive control scheme is developed to achieve cooperation among the systems and compensate for the delays. The study also provides a simple condition to verify the stability and output consensus of the closed-loop systems.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Zhongcheng Lei, Hong Zhou, Wenshan Hu, Guo-Ping Liu
IEEE INDUSTRIAL ELECTRONICS MAGAZINE
(2023)
Article
Automation & Control Systems
Tao Yang, Shikuan Sun, Guo-Ping Liu
Summary: This article proposes a droop-based distributed discrete-time secondary cooperative control scheme for AC microgrids with communication delays. The scheme aims to compensate for the delays caused by low-bandwidth communication networks and achieve voltage and frequency recovery as well as accurate active power sharing. Each distributed generator only needs to share information with its neighbors, and stability conditions for the closed-loop control systems are derived. The effectiveness of the control strategy is verified through simulations and experiments on the OPAL-RT platform.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Da-Wei Zhang, Guo-Ping Liu, Lei Cao
Summary: This article focuses on constrained cooperative control for high-order fully actuated multiagent systems subject to input saturation and prescribed performance. A predictive control scheme is proposed to achieve constrained cooperation among these systems. The scheme includes an incremental HOFA prediction model constructed using a Diophantine equation and the optimization of a cost function to develop optimal constrained cooperative controllers. The article also discusses stability and consensus conditions, and presents simulated and experimental results to illustrate the effectiveness of the proposed scheme.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Automation & Control Systems
Da-Wei Zhang, Guo-Ping Liu
Summary: This research focuses on addressing the output tracking problem for networked high-order fully actuated systems under communication delays and external disturbances. A novel HOFA system model is applied to establish the dynamics of networked control systems, and a disturbance observer based HOFA predictive control approach is proposed. A Diophantine Equation is applied to establish an incremental HOFA prediction model, and a necessary and sufficient criterion is given to discuss the stability and tracking performance of closed-loop NHOFA systems. The availability of the proposed approach is demonstrated through simulated and experimental results.
Article
Automation & Control Systems
Chang-Bing Zheng, Zhong-Hua Pang, Jing-Xu Wang, Jian Sun, Guo-Ping Liu, Qing-Long Han
Summary: In this article, a novel and flexible time-varying formation task strategy is proposed for the time-varying formation control problem with collision avoidance in uncertain nonlinear second-order multiagent systems. The proposed method utilizes agent radius and a sine function to accurately describe collision risk. Two fixed-time sliding mode controllers with constant and variable exponent coefficients are also proposed to track the desired trajectory. Theoretical results for the task design and trajectory tracking are obtained using the Lyapunov stability theory.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Yi Yu, Guo-Ping Liu, Yi Huang, Josep M. Guerrero
Summary: The paper presents an optimal distributed data-driven secondary control strategy for voltage restoration and current balancing in DC microgrids. The strategy uses input and output data of DC microgrids to design a controller that incorporates the physical coupling relationship between voltage and current. By using a cost function, the designed control strategy achieves better output current quality at steady state. The strategy combines limiting the voltage reference value generated by the secondary controller and a current cooperative strategy based on the data model to achieve a trade-off between voltage regulation and current sharing.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Automation & Control Systems
Lei Cao, Guo-Ping Liu, Da -Wei Zhang
Summary: This paper investigates networked multi-agent systems with communication delays. It proposes a centralized cloud predictive control protocol to achieve formation control of multiple agents, and introduces a predictive method to actively compensate for network delays. The analysis of closed-loop networked multi-agent systems provides the necessary and sufficient condition for stability and consensus. Finally, the proposed cloud-based predictive formation control scheme is validated through its application to a 3-degree-of-freedom air-bearing spacecraft simulator platform.
Article
Engineering, Electrical & Electronic
Jun Hu, Jiaxing Li, Guo-Ping Liu, Xiaojian Yi, Zhihui Wu
Summary: This paper addresses the problem of distributed filtering for time-varying saturated stochastic systems with energy harvesting sensors and time delay in sensor networks. The paper introduces an energy harvesting technique in the communication network, where sensors can harvest energy from the environment. The specific probability distribution of each sensor's energy harvesting level is computed iteratively. The paper proposes a novel distributed filtering scheme that optimizes the upper bound matrix of the filtering error covariance and discusses the boundedness analysis of the filtering error dynamics. Experimental results demonstrate the effectiveness of the developed variance-constrained optimized distributed filtering scheme under the energy harvesting strategy.
IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS
(2023)
Article
Automation & Control Systems
Hui Xiao, Wenshan Hu, Hong Zhou, Guo-Ping Liu
Summary: This paper proposes a prediction-based approach for power consumption monitoring, which accurately reveals the transparent relationships between the output and input parameters by utilizing an interpretable data-driven model and a networked predictive method. Through practical applications in an aluminum manufacturing company located in Guangdong Province, it is demonstrated that this approach is feasible and applicable.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Automation & Control Systems
Da-Wei Zhang, Guo-Ping Liu, Lei Cao
Summary: This research addresses the coordinated control problem for high-order fully actuated networked multiagent systems under random denial-of-service attacks. A secure predictive coordinated control scheme is proposed using a dynamic model and a prediction model to achieve security coordination and compensate for random data losses. Furthermore, a condition for analyzing the stability of closed-loop systems is presented.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Wei Chen, Zidong Wang, Hongli Dong, Jingfeng Mao, Guo-Ping Liu
Summary: This article discusses the privacy-preserving distributed economic dispatch problem of microgrids. A distributed optimization algorithm with a constant step size is proposed by combining decentralized exact first-order algorithm with the push-sum protocol to achieve privacy preservation. It is demonstrated through analysis that the scheme is effective in protecting privacy in various scenarios.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Shengwang Ye, Guo-Ping Liu, Wenshan Hu, Zhongcheng Lei
Summary: This article introduces an IoT-based solution to a multiagent system experimentation in NCSLab. The proposed solution offers abundant choices for MAS experiments with its compact architecture and multiple features such as online algorithm design and live video monitor. The effectiveness of the proposed controller and its configurable ability for MAS are demonstrated through web-based experiments.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
