Article
Automation & Control Systems
Kaixuan Chen, Xiang Zhang, Kaibo Shi, Yanyan Yin, Shuping He
Summary: This paper investigates the problem of filtering-based asynchronous fault detection for a class of continuous-time conic-type nonlinear semi-Markov jump systems using an adaptive event-triggered approach. The asynchrony of filter modes and system modes is described by a hidden semi-Markov model. An adaptive event-triggered scheme is developed to reduce transmissions and improve data transmission efficiency. Sufficient conditions for stochastic stability and H-infinity performance of the fault detection system are obtained using linear matrix inequalities techniques. A tunnel diode circuit model is provided to validate the accuracy and effectiveness of the proposed approach.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2022)
Article
Mathematics, Applied
ZeLiang Xia, Shuping He
Summary: This paper investigates the H 00 fault-tolerant control problem for a class of conic-type nonlinear Markov jump systems with sensor and actuator faults as well as unknown disturbances. The hidden Markov model is introduced to handle the asynchronous issue in control systems. By utilizing suitable Lyapunov-Krasovskii function and linear matrix inequalities techniques, a new condition of the state feedback H 00 fault-tolerant controller with actuator faults and sensor faults is presented. The proposed control strategy ensures both the finite-time boundness of the closed loop system and the desired H 00 performance.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Automation & Control Systems
Chuancheng Qin, Wen-Juan Lin, Jinpeng Yu
Summary: This article proposes a fault detection method for a class of Markov jump nonlinear systems with time delays and uncertain parameters. By designing an FD filter, the FD problem is transformed into a filtering question and network resources are conserved through an adaptive event-triggered mechanism. The stability and performance index of the residual system are guaranteed using Lyapunov-Krasovskii functional theory.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Computer Science, Information Systems
V Nithya, V. T. Suveetha, R. Sakthivel, Yong-Ki Ma
Summary: This work investigates the finite-time asynchronous fault detection filter design for conic-type nonlinear semi-Markovian jump systems with various complexities. By considering time delay, missing measurements, and randomly jumping fault signals, the developed filter aims to ensure the boundedness of the filtering error system with prescribed dissipative performance. The proposed approach is validated through numerical examples, demonstrating its applicability and usefulness in practical scenarios.
Article
Computer Science, Information Systems
Xiang Zhang, Shuping He, Vladimir Stojanovic, Xiaoli Luan, Fei Liu
Summary: This study focuses on the finite-time asynchronous dissipative filter design problem for Markov jump systems with conic-type nonlinearity. By utilizing a suitable Lyapunov-Krasovskii function and linear matrix inequalities, adequate conditions are obtained to ensure the finite-time boundedness and strict dissipativity of the filtering error dynamic system. The design problems of passive and H-infinity filters are studied by adjusting parameters, and the correctness and feasibility of the designed approach are verified through a simulation example.
SCIENCE CHINA-INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Linchuang Zhang, Yonghui Sun, Yingnan Pan, Dongchen Hou, Sen Wang
Summary: This article investigates the event-triggered (ET) states feedback robust H infinity control problem for a class of continuous-time networked semi-Markov jump systems, proposing an ET scheme based on semi-Markov process. It introduces a time-delay S-MJSs model under the ET scheme to cope with network transmission delay phenomenon and considers imperfect communication links between event detector and zero-order holder. The sufficient conditions for stochastic stability are derived using linear matrix inequalities approach, ensuring the constructed time-delay S-MJSs meet an optimized H infinity performance level. Simulation results validate the proposed method for F-404 aircraft engine system with two kinds of ET parameters.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Automation & Control Systems
Xingjian Fu, Xinrui Pang
Summary: This study investigated the robust fault estimation and robust fault-tolerant control for a class of nonlinear time-delayed Markov jump systems with both actuator and sensor faults. By designing a generalized observer and a state feedback fault-tolerant controller, the estimation and control of faults were achieved simultaneously. Sufficient conditions for the existence of the observer and controller were given through solving linear matrix inequalities.
Article
Automation & Control Systems
Peng Cheng, Shuping He, Jun Cheng, Xiaoli Luan, Fei Liu
Summary: This article focuses on a finite-time asynchronous output feedback control scheme for a class of Markov jump systems subject to external disturbances and nonlinearities. A sufficient condition is derived using Lyapunov functional technique to guarantee both the finite-time boundedness of the closed-loop systems and the desired H-infinity performance. The proposed method's validity and feasibility are demonstrated through a dc-motor experiment.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Yue Long, Yuhua Cheng, Tieshan Li, Weiwei Bai, Kai Chen, Libing Bai
Summary: This article investigates the asynchronous fault detection (FD) strategy in frequency domain for nonlinear Markov jump systems under fading channels. A set of asynchronous FD filters is proposed to estimate system dynamics, and the augmented system is shown to be stochastic stable with a prescribed l(2) gain even under fading transmissions. Novel decoupling techniques and slack variables are used to deduce solvable conditions with less conservatism for calculating FD filter gains. The proposed method's effectiveness is demonstrated with an illustrative example.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Qiang Li, Junfeng Zhang, Peng Lin
Summary: This article investigates the asynchronous fault detection filter of nonlinear positive semi-Markov jump systems with disturbances and actuator faults based on an adaptive event-triggering scheme. The novelties of the proposed design lie in the construction of a new adaptive event-triggered strategy, the proposal of an adaptive event-triggered asynchronous filter for the underlying systems, the achievement of hybrid gain performances of the filter with respect to the disturbance and fault, and the introduction of a linear programming-based computation method to determine the filter gains. Overall, the results show the effectiveness of the proposed design.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2022)
Article
Computer Science, Artificial Intelligence
Hao Shen, Mingcheng Dai, Yiping Luo, Jinde Cao, Mohammed Chadli
Summary: This article focuses on fuzzy-model-based fault-tolerant control for nonlinear semi-Markov jump systems in the discrete-time context. The study introduces a fault-tolerant mechanism for possible unexpected failures in system actuators. By utilizing semi-Markov processes and Takagi-Sugeno fuzzy model, criteria for ensuring stability of closed-loop systems are developed to design reliable fuzzy state feedback controllers.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Automation & Control Systems
Yongli Wei, Li Sheng, Ming Gao, Yuhan Ma
Summary: This paper investigates the problem of anti-saturation fault-tolerant control for a class of Markov jump nonlinear systems subject to input saturation. A new saturation dynamic filter is designed to reduce the effects of input saturation, and an appropriate Lyapunov function is constructed to deal with unmodeled dynamics. The Nussbaum technique is combined with the norm estimation method to overcome the challenges brought by faults and unknown parameters of Markov switching. Additionally, an anti-saturation fault-tolerant controller is designed to ensure that all signals of the closed-loop system are bounded in probability, and two examples are provided to validate the effectiveness of the developed method.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2023)
Article
Automation & Control Systems
Kai Yin, Dedong Yang
Summary: This paper explores the design of a positive l1-gain asynchronous non-fragile fault detection filter (FDF) for discrete-time positive Markov jump systems (PMJSs) based on the dynamic event-triggered method (DETM). A new DETM that can avoid non-triviality is developed to account for the effect of positivity on event-triggered mechanisms and non-triviality on stability of discrete-time PMJSs. The asynchronous situation between the non-fragile FDF modes and the system modes is managed through a hidden Markov model.
Article
Engineering, Electrical & Electronic
Cheng Gong, Guopu Zhu, Peng Shi, Ramesh K. Agarwal
Summary: This paper discusses the simultaneous fault detection and control for Markov jump systems over sensor networks, using a new distributed system and mode-dependent Lyapunov functional to achieve stable results. The proposed approach is shown to be effective and superior through comparison analyses with examples.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2021)
Article
Automation & Control Systems
Yuchang Feng, Xue Li, Donglin Shi, Dawei Dai
Summary: In this paper, an efficient robust model predictive control (MPC) is designed for a class of nonlinear Markov jump systems (MJSs) with bounded persistent perturbations and hard constraints. Nonlinearity is modeled as a polyhedral form. The proposed method introduces affine control inputs for the polytopic MJSs to achieve the desired performance, and uses quadratic boundedness to handle the bounded persistent perturbations and improve the robustness of the closed-loop system. The large amount of online MPC computation is efficiently solved by matrix partitioning, which ensures the closed-loop system's stochastic stability and reduces the online computation.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Automation & Control Systems
Peng Cheng, Shuping He, Hongli Dong, Weixing Chen, Weidong Zhang
Summary: In this article, an extended state observer-based finite-region control scheme is proposed for two-dimensional Markov jump systems with unknown mismatched disturbances. By establishing special recursive formulas and utilizing the 2-D Lyapunov function theory, sufficient conditions are obtained for the resultant system to be finite-region bounded. An algorithm is provided to solve the extended state observer-based controller gains. The proposed control scheme actively rejects external disturbances and the validity and effectiveness of the devised scheme are demonstrated through a numerical example based on the Darboux equation.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Shanglei Guan, Zhihe Zhuang, Hongfeng Tao, Yiyang Chen, Vladimir Stojanovic, Wojciech Paszke
Summary: In this paper, a feedback-aided PD-type ILC design is proposed for time-varying systems with non-uniform trial lengths. The update sequences designed provide uniform full-length signals for the update process, even when the actual trial lengths are non-uniform. The use of feedback error signal as part of the correction term improves the system performance compared to traditional open-loop approaches.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2023)
Article
Automation & Control Systems
Xiaona Song, Chenglin Wu, Vladimir Stojanovic, Shuai Song
Summary: This paper investigates the fixed-time prescribed performance trajectory tracking control for the unmanned surface vehicle with unknown dynamics and disturbances. At first, an improved prescribed performance function was introduced to transformation of coordinate for achieving a user-defined performance including the transient and steady-state performance of the USV. Then, an adaptive fixed-time trajectory tracking controller is designed by integrating the fixed-time stability and the event-triggered control (ETC) mechanism. Stability results prove that the proposed controller not only guaranteed that all the signals in the closed-loop system are the semi-global uniform ultimate bounded (SGUUB), but also ensured the tracking errors can converge to a preassigned area in a fixed-time. Moreover, by proposing a co-design of the ETC and 1-bit signal encoding-decoding mechanisms between controller and actuator, the trade-off between tracking performance and communication cost is achieved. Finally, the effectiveness of the developed control approach is verified through simulation results.
CONTROL ENGINEERING PRACTICE
(2023)
Article
Automation & Control Systems
Liang Zhang, Jinghui Deng, Kun Zhou, Tao Yu, Jun Song, Shuping He
Summary: This work proposes a extremum-seeking control framework to address the time-sensitive coverage control problem for multiple non-holonomic mobile robots. An improved K-means algorithm is designed to produce the optimal waypoints for robots, and a fixed-time state regulator is derived to regulate the robot's angular velocity. The results are validated through virtual robotic simulation and experiments on real robots, demonstrating the efficiency of the proposed methods in deploying heterogeneous robots for time-sensitive services.
IET CONTROL THEORY AND APPLICATIONS
(2023)
Article
Mechanics
Vladimir Stojanovic, Jian Deng, Dunja Milic
Summary: This paper investigates the stochastic stability conditions of circular cylindrical shells compressed by timedependent stochastic membrane forces. The main contribution of the paper is determining the moment Lyapunov exponents of the linear cylindrical shell for the first time. The moment and almost-sure stochastic stability of a three-degree-of-freedom coupled continuous system under parametric excitation of white noise are also investigated.
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
(2023)
Article
Computer Science, Hardware & Architecture
Kourosh Hakhamaneshi, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanovic
Summary: In this article, a supervised pretraining approach is proposed to learn circuit representations for predicting circuit performance, enabling automated design. By training a neural network to predict the output dc voltages of circuit instances, generalizable knowledge about the role of each circuit element and their interactions can be obtained. Graph neural networks are used to learn node embeddings by representing circuits as graphs, allowing adaptation to new topologies or prediction tasks.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
(2023)
Article
Computer Science, Information Systems
Haiying Wan, Xiaoli Luan, Vladimir Stojanovic, Fei Liu
Summary: This paper proposes a resources-aware pattern of finite-time controller design for discrete-time Markov jump systems (DTMJSs). A self-triggered mechanism is used to evaluate the performance of DTMJSs during a given interval, where subsequent execution is determined based on historical data. An adaptive self-triggered mechanism with customizable thresholds is also proposed for more communication resource conservation. Two instances are explored to examine the impact of the association between mode transitions and triggering signals on finite-time performance, regardless of whether they were activated within the working period. Additionally, a co-design framework is developed to calculate the adaptive self-triggered parameters and the finite-time controller gains synchronously, increasing efficiency of resource conservation and facilitating adaptation.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Xiaona Song, Yulong Song, Vladimir Stojanovic, Shuai Song
Summary: This paper investigates the security control for linear parameter-varying partial differential equation systems using an improved dynamic event-triggered mechanism (DETM). The nonlinear terms of the systems are approximated based on the Takagi-Sugeno fuzzy model, and pointwise measurements are introduced to reduce the number of sensors. An improved DETM is offered to reduce transmission channel congestion caused by limited bandwidth. Additionally, dual deception attacks are considered to simulate complex forms of attacks, and parameter-dependent Lyapunov-Krasovskii functionals are employed to ensure the exponential stability of the target system. Numerical and application examples are provided to validate the effectiveness of the proposed design methods, with trigger rates reduced to 4.58% and 3.68% in the two cases.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2023)
Article
Automation & Control Systems
Rui Wang, Zhihe Zhuang, Hongfeng Tao, Wojciech Paszke, Vladimir Stojanovic
Summary: This paper presents a Q-learning based fault estimation and fault tolerant control scheme to address the sensitivity of ILC to actuator faults due to repetitive tasks, as well as the challenge posed by unknown faults varying with time and trial axes. The Q learning algorithm is introduced for continuously adjusting the estimator to adapt to changing faults, and the FTC is designed within the NOILC framework to counteract the influence of faults based on the FE results from Q-learning. Simulation on a mobile robot plant verifies the effectiveness of the proposed algorithm.
Article
Automation & Control Systems
Xiang Zhang, Hai Wang, Jun Song, Shuping He, Changyin Sun
Summary: This article investigates the co-design problem of adaptive event-triggered schemes and asynchronous fault detection filter for nonhomogeneous higher-level Markov jump systems. It proposes a novel approach to balance the utilization of network resources and system performance by designing a higher-level Markov chain and applying a hidden Markov model.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Peng Cheng, Shuping He, Wei Xie, Weidong Zhang
Summary: In this work, the authors focus on the transient behavior of a class of two-dimensional fuzzy Markov jump systems in the context of finite-region asynchronous dissipative control. They first model the considered plant using the well-known Fornasini-Marchesini equation and characterize the asynchronization phenomenon with a hidden Markov model. Then, they establish sufficient conditions for the overall closed-loop fuzzy dynamic MJSs to be finite-region bounded and strictly (T, S, R)-α-dissipative through a fuzzy-basis-dependent and mode-dependent Lyapunov function. Finally, a numerical example is presented to validate the effectiveness and performance of the proposed control scheme.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Zenglong Peng, Xiaona Song, Shuai Song, Vladimir Stojanovic
Summary: This article addresses the problem of exponential input-to-state stabilization for switched reaction-diffusion systems with persistent dwell-time switching mechanism. A novel pointwise controller is designed based on point measurement to reduce the number of sensors and actuators. A hysteresis quantizer with an adjustable parameter is employed to balance the quantitative effect and system's performance, improving the bandwidth utilization of the network. The effectiveness of the proposed approach is demonstrated through an application in temperature control of power semiconductor chips.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Automation & Control Systems
Peng Cheng, Hongtian Chen, Shuping He, Weidong Zhang
Summary: This work addresses the issue of asynchronous deconvolution filter design for 2-D Markov jump systems with random packet losses. An asynchronous 2-D deconvolution filter is proposed to reconstruct the 2-D signal with measurement noise. The asynchronization phenomenon between the system modes and filter modes is characterized by a hidden Markov model.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Rong Nie, Wenli Du, Ting Wang, Zhongmei Li, Shuping He
Summary: This article presents a distributed optimization framework for solving the plant-wide energy-saving problem of an ethylene plant. A new distributed consensus algorithm called ASS-DPCA is proposed, which can dynamically adjust the step size and eliminate the dependence on model gradient information. Numerical simulation and industrial experiments show that the algorithm can reduce the total energy consumption of an ethylene plant in less computing time.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Acoustics
Vladimir Stojanovic, Jian Deng, Dunja Milic, Marko D. Petkovic
Summary: A comprehensive investigation was conducted to analyze the vibration stability of a coupled bogie system moving along a flexibly supported infinite high-order shear deformable coupled beam system on a viscoelastic base. The study compared the coupling of the bogie system with and without an additional stabilizer, finding significant benefits of dual coupling and additional stabilizers in terms of stability. The study also proposed unconventional models for technical practice and discovered the occurrence of motion instability with increased viscous damping in a special coupling. The paper introduced a novel technical solution for connecting moving objects at high speeds and extensively illustrated the benefits of an additional oscillator as a stabilizer through various examples. Using the D-decomposition technique and the argument principle, the study identified the region of instability within the parameter space of the system. The analysis revealed that the additional mechanical stabilizer allowed for a wider range of permissible suspension stiffness, while enabling transverse displacement in the couplings resulted in a stable regime of motion at lower suspension stiffness compared to other cases.
JOURNAL OF SOUND AND VIBRATION
(2024)
