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Event-triggered adaptive finite-time control for nonlinear systems under asymmetric time-varying state constraints Research Article

Yan Wei, Jun Luo, Huaicheng Yan, Yueying Wang,wyy676@126.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 12,   Pages 1551-1684 doi: 10.1631/FITEE.2000692

Abstract: This paper investigates the issue of event-triggered adaptive state-constrained control for multi-input multi-output uncertain nonlinear systems. To prevent asymmetric time-varying from being violated, a tan-type is established to transform the considered system into an equivalent “non-constrained” system. By employing a smooth switch function in the virtual control signals, the singularity in the traditional dynamic surface control can be avoided. Fuzzy logic systems are used to compensate for the unknown functions. A suitable event-triggering rule is introduced to determine when to transmit the control laws. Through Lyapunov analysis, the closed-loop system is proved to be semi-globally practical stable, and the are never violated. Simulations are provided to evaluate the effectiveness of the proposed approach.

Keywords： 事件触发控制；非线性映射；自适应模糊控制；有限时间；状态约束    

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Application of direct adaptive fuzzy slidingmode control into a class of non-affine discrete nonlinear systems Article

Xiao-yu ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 12,   Pages 1331-1343 doi: 10.1631/FITEE.1500318

Abstract: Direct adaptive fuzzy sliding mode control design for discrete non-affine nonlinear systems is presented for trajectory tracking problems with disturbance. To obtain adaptiveness and eliminate chattering of sliding mode control, a dynamic fuzzy logical system is used to implement an equivalent control, in which the parameters are self-tuned online. Stability of the sliding mode control is validated using the Lyapunov analysis theory. The overall system is adaptive, asymptotically stable, and chattering-free. A numerical simulation and an application to a robotic arm with two degrees of freedom further verify the good performance of the control design.

Keywords： Nonlinear system     Discrete system     Dynamic fuzzy logical system     Direct adaptive     Sliding mode control    

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Event-triggered dynamic output-feedback control for a class of Lipschitz nonlinear systems Research Article

Zhiqian LIU, Xuyang LOU, Jiajia JIA

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11,   Pages 1684-1699 doi: 10.1631/FITEE.2100552

Abstract:

This paper investigates the problem of for a class of s. First, a continuous-time controller is constructed and sufficient conditions for stability of the nonlinear systems are presented. Then, a novel event-triggered mechanism is proposed for the s in which new event-triggered conditions are introduced. Consequently, a closed-loop hybrid system is obtained using the strategy. Sufficient conditions for stability of the closed-loop system are established in the framework of hybrid systems. In addition, an upper bound of a minimum inter-event interval is provided to avoid the Zeno phenomenon. Finally, numerical examples of a neural network system and a genetic regulatory network system are provided to verify the theoretical results and to show the superiority of the proposed method.

Keywords： Lipschitz nonlinear system     Dynamic output-feedback control     Event-triggered control     Global asymptotic stability    

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Finite-time leader-follower consensus of a discrete-time system via sliding mode control Research Article

Ruizhuo SONG, Shi XING, Zhen XU

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1057-1068 doi: 10.1631/FITEE.2100565

Abstract: In this study, we solve the problem of discrete-time second-order (MASs) under the constraints of external disturbances. First, a novel consensus scheme is designed using a novel theory. Our adaptive controller is designed using the traditional sliding mode reaching law, and its advantages are chatter reduction and invariance to disturbances. In addition, the stability is demonstrated by presenting a discrete Lyapunov function. Finally, simulation results are presented to prove the validity of our theoretical results.

Keywords： Finite-time     Leader-follower consensus     Adaptive sliding mode control     Multi-agent systems    

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Containment control for heterogeneous nonlinear multi-agent systems under distributed event-triggered schemes Research Articles

Ya-ni Sun, Wen-cheng Zou, Jian Guo, Zheng-rong Xiang,xiangzr@njust.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000034

Abstract: We study the problem for high-order heterogeneous nonlinear under distributed event-triggered schemes. To achieve the objective and reduce communication consumption among agents, a scheme is proposed by applying the backstepping method, Lyapunov functional approach, and neural networks. Then, the results are extended to the self-triggered control case to avoid continuous monitoring of state errors. The developed protocols and triggered rules ensure that the output for each follower converges to the convex hull spanned by multi-leader signals within a bounded error. In addition, no agent exhibits . Two numerical simulations are finally presented to verify the correctness of the obtained results.

Keywords： Multi-agent systems     Distributed event-triggered control     Containment control     Heterogeneous nonlinear systems     Zeno behavior    

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Indirect adaptive fuzzy-regulated optimal control for unknown continuous-time nonlinear systems

Haiyun Zhang, Deyuan Meng, Jin Wang, Guodong Lu,gray_sun@zju.edu.cn,tinydreams@126.com,dwjcom@zju.edu.cn,lugd@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2,   Pages 141-286 doi: 10.1631/FITEE.1900610

Abstract: We present a novel indirect adaptive fuzzy-regulated optimal control scheme for continuous-time nonlinear systems with unknown dynamics, mismatches, and disturbances. Initially, the Hamilton-Jacobi-Bellman (HJB) equation associated with its performance function is derived for the original nonlinear systems. Unlike existing adaptive dynamic programming (ADP) approaches, this scheme uses a special non-quadratic variable performance function as the reinforcement medium in the actor-critic architecture. An adaptive structure is correspondingly constructed to configure the weighting matrix of the performance function for the purpose of approximating and balancing the HJB equation. A concurrent self-organizing learning technique is designed to adaptively update the critic weights. Based on this particular critic, an adaptive optimal feedback controller is developed as the actor with a new form of augmented Riccati equation to optimize the fuzzy-regulated variable performance function in real time. The result is an online mechanism implemented as an , which involves continuous-time adaptation of both the optimal cost and the optimal control policy. The convergence and closed-loop stability of the proposed system are proved and guaranteed. Simulation examples and comparisons show the effectiveness and advantages of the proposed method.

Keywords： Indirect adaptive optimal control     Hamilton-Jacobi-Bellman equation     Fuzzy-regulated critic     Adaptive optimal control actor     Actor-critic structure     Unknown nonlinear systems    

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Adaptive Extension Controller Design for Nonlinear Systems

Wong Qingchang,Chen Zhenyuan

Strategic Study of CAE 2001, Volume 3, Issue 7,   Pages 54-58

Abstract:

A design method for the extension controller is developed in this paper. The proposed adaptive extension control resulting from the direct adaptive approach is employed to directly adapt the gain parameter of the extension controller. Then the constructed controller can be best approximated to a given optimal control. Unlike the fuzzy controller, only one linguistic — like level is needed in the extension controller. The merits of the proposed controller are that (a) the number of adaptation parameter is small; (b) the design algorithm is easily to be implemented. In addition, a maximum control is established to guarantee the system robust stability. The derivation shows that the proposed extension controller is stable in the sense of the Lyapunov. Finally, a nonlinear system simulation example is applied to verifying the effectiveness and the ability of the proposed adaptive extension controller.

Keywords： extension theory     adaptive control     extension controller     robust stability    

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Finite-time formation control for first-order multi-agent systems with region constraints Research Articles

Zhengquan Yang, Xiaofang Pan, Qing Zhang, Zengqiang Chen,zquanyang@163.com,1219006322@qq.com,qz120168@hotmail.com,chenzq@nankai.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000177

Abstract: In this study, the control of s with region constraints is studied. Multiple agents have first-order dynamics and a common target area. A novel control algorithm is proposed using local information and interaction. If the communication graph is undirected and connected and the desired framework is rigid, it is proved that the controller can be used to solve the formation problem with a target area. That is, all agents can enter the desired region in finite time while reaching and maintaining the desired formation shapes. Finally, a numerical example is given to illustrate the results.

Keywords： Finite-time formation     Multi-agent system     Asymptotic convergence     Set constraint     Lyapunov theorem    

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Design and experimental validation of event-triggered multi-vehicle cooperation in conflicting scenarios Research Article

Zhanyi HU, Yingjun QIAO, Xingyu LI, Jin HUANG, Yifan JIA, Zhihua ZHONG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11,   Pages 1700-1713 doi: 10.1631/FITEE.2100504

Abstract:

Platoon control is widely studied for coordinating (CAVs) on highways due to its potential for improving traffic throughput and road safety. Inspired by platoon control, the cooperation of multiple CAVs in can be greatly simplified by virtual platooning. Vehicle-to-vehicle communication is an essential ingredient in virtual platoon systems. Massive data transmission with limited communication resPreprintources incurs inevitable imperfections such as transmission delay and dropped packets. As a result, unnecessary transmission needs to be avoided to establish a reliable wireless network. To this end, an event-triggered robust control method is developed to reduce the use of communication resources while ensuring the stability of the virtual platoon system with time-varying uncertainty. The uniform boundedness, uniform ultimate boundedness, and string stability of the closed-loop system are analytically proved. As for the triggering condition, the uncertainty of the boundary information is considered, so that the threshold can be estimated more reasonably. Simulation and experimental results verify that the proposed method can greatly reduce data transmission while creating multi-vehicle cooperation. The threshold affects the tracking ability and communication burden, and hence an optimization framework for choosing the threshold is worth exploring in future research.

Keywords： Connected and automated vehicles     Event-triggered control     Nonlinear and uncertain dynamics     Conflicting scenarios    

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Adaptive tracking control of high-order MIMO nonlinear systems with prescribed performance Research Articles

Xuerao Wang, Qingling Wang, Changyin Sun,wangxuerao@seu.edu.cn,qlwang@seu.edu.cn,cysun@seu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 7,   Pages 986-1001 doi: 10.1631/FITEE.2000145

Abstract: In this paper, an observer-based adaptive tracking control scheme is developed for a class of uncertain multi-input multi-output nonlinear systems with or without . A novel finite-time is constructed to estimate the system uncertainties and external disturbances. To guarantee the , an error transformation is applied to transfer the time-varying constraints into a constant constraint. Then, by employing a barrier Lyapunov function and the backstepping technique, an observer-based tracking control strategy is presented. It is proven that using the proposed algorithm, all the closed-loop signals are bounded, and the tracking errors satisfy the predefined time-varying performance requirements. Finally, simulation results on a quadrotor system are given to illustrate the effectiveness of the proposed control scheme.

Keywords： 自适应跟踪控制；预设性能；输入饱和；干扰观测器；神经网络    

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Rules Auto-conditioning Fuzzy Controller

Cheng Jin,Zhang Chenghui,Xia Dongwei

Strategic Study of CAE 2003, Volume 5, Issue 9,   Pages 78-81

Abstract:

According to the fuzzy theory and practical experience, the authors propose a rules autoconditioning fuzzy controller, whose dynamic performance and stability are all prior to the conventional PID controller and the basic fuzzy controller. It is also shown that the controller has good disturbance rejection properties and insensitivity to plant parameter variations. Both simulation and engineering prove that it is feasible actually and convenient to put into practical control project.

Keywords： fuzzy controller     rules auto-tuning     adaptive    

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Model-free adaptive control for three-degree-of-freedom hybrid magnetic bearings Article

Ye YUAN, Yu-kun SUN, Qian-wen XIANG, Yong-hong HUANG, Zhi-ying ZHU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12,   Pages 2035-2045 doi: 10.1631/FITEE.1700324

Abstract: Mathematical models are disappointing due to uneven distribution of the air gap magnetic field and significant unmodeled dynamics in magnetic bearing systems. The effectiveness of control deteriorates based on an inaccurate mathematical model, creating slow response speed and high jitter. To solve these problems, a model-free adaptive control (MFAC) scheme is proposed for a three-degree-of-freedom hybrid magnetic bearing (3-DoF HMB) control system. The scheme for 3-DoF HMB depends only on the control current and the objective balanced position, and it does not involve any model information. The design process of a parameter estimation algorithm is model-free, based directly on pseudo-partial-derivative (PPD) derived online from the input and output data information. The rotor start-of-suspension position of the HMB is regulated by auxiliary bearings with different inner diameters, and two kinds of operation situations (linear and nonlinear areas) are present to analyze the validity of MFAC in detail. Both simulations and experiments demonstrate that the proposed MFAC scheme handles the 3-DoF HMB control system with start-of-suspension response speed, smaller steady state error, and higher stability.

Keywords： Model-free adaptive control     Hybrid magnetic bearings     Nonlinear areas     Faster response     Higher stability    

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Adaptive tracking control for air-breathing hypersonic vehicles with state constraints Article

Gong-jun LI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5,   Pages 599-614 doi: 10.1631/FITEE.1500464

Abstract: We investigate the adaptive tracking problem for the longitudinal dynamics of state-constrained airbreathing hypersonic vehicles, where not only the velocity and the altitude, but also the angle of attack (AOA) is required to be tracked. A novel indirect AOA tracking strategy is proposed by viewing the pitch angle as a new output and devising an appropriate pitch angle reference trajectory. Then based on the redefined outputs (i.e., the velocity, the altitude, and the pitch angle), a modified backstepping design is proposed where the barrier Lyapunov function is used to solve the state-constrained control problem and the control gain of this class of systems is unknown. Stability analysis is given to show that the tracking objective is achieved, all the closed-loop signals are bounded, and all the states always satisfy the given constraints. Finally, numerical simulations verify the effectiveness of the proposed approach.

Keywords： Hypersonic vehicle     Constraints     Output redefinition     Barrier Lyapunov function    

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Adaptive fuzzy integral sliding mode velocity control for the cutting system of a trench cutter

Qi-yan Tian, Jian-hua Wei, Jin-hui Fang, Kai Guo,jhfang@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 1,   Pages 55-66 doi: 10.1631/FITEE.15a0160

Abstract: This paper presents a velocity controller for the of a trench cutter (TC). The cutting velocity of a is affected by the unknown load characteristics of rock and soil. In addition, geological conditions vary with time. Due to the complex load characteristics of rock and soil, the cutting load torque of a cutter is related to the geological conditions and the feeding velocity of the cutter. Moreover, a cutter’s dynamic model is subjected to uncertainties with unknown effects on its function. In this study, to deal with the particular characteristics of a , a novel (AFISMC) is designed for controlling cutting velocity. The model combines the robust characteristics of an integral sliding mode controller with the adaptive adjusting characteristics of an adaptive fuzzy controller. The AFISMC ler is synthesized using the backstepping technique. The stability of the whole system including the fuzzy inference system, integral sliding mode controller, and the is proven using the Lyapunov theory. Experiments have been conducted on a TC test bench with the AFISMC under different operating conditions. The experimental results demonstrate that the proposed AFISMC ler gives a superior and robust velocity tracking performance.

Keywords： Cutting system     Electro-hydraulic system     Cutting velocity control     Adaptive fuzzy integral sliding mode control    

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The Adaptive Robust Controller of the Centrifuge

Li Guo,Zhang Peichang,Hu Jianfei,Yu Dafei

Strategic Study of CAE 2006, Volume 8, Issue 9,   Pages 30-34

Abstract:

This paper investigates the use of the adaptive robust controller for improving control performance and stability of the centrifuge. Based on its structural merit that the electric motor is connected to the centrifuge, the implementation of a control system is expected to achieve satisfactory control performance. An adaptive robust control algorithm of the centrifuge is presented in the paper, and the adaptive robust controller is designed according to the centrifuge model. The effectiveness of the algorithm is verified by the experimental results. It is clarified that the control performance and stability of the centrifuge is improved and the control system still maintains satisfactory control performance despite the change of environment conditions.

Keywords： centrifuge     adaptive control     robust control    

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Title Author Date Type Operation

Event-triggered adaptive finite-time control for nonlinear systems under asymmetric time-varying state constraints

Yan Wei, Jun Luo, Huaicheng Yan, Yueying Wang,wyy676@126.com

Journal Article

Application of direct adaptive fuzzy slidingmode control into a class of non-affine discrete nonlinear systems

Xiao-yu ZHANG

Journal Article

Event-triggered dynamic output-feedback control for a class of Lipschitz nonlinear systems

Zhiqian LIU, Xuyang LOU, Jiajia JIA

Journal Article

Finite-time leader-follower consensus of a discrete-time system via sliding mode control

Ruizhuo SONG, Shi XING, Zhen XU

Journal Article

Containment control for heterogeneous nonlinear multi-agent systems under distributed event-triggered schemes

Ya-ni Sun, Wen-cheng Zou, Jian Guo, Zheng-rong Xiang,xiangzr@njust.edu.cn

Journal Article

Indirect adaptive fuzzy-regulated optimal control for unknown continuous-time nonlinear systems

Haiyun Zhang, Deyuan Meng, Jin Wang, Guodong Lu,gray_sun@zju.edu.cn,tinydreams@126.com,dwjcom@zju.edu.cn,lugd@zju.edu.cn

Journal Article

Adaptive Extension Controller Design for Nonlinear Systems

Wong Qingchang,Chen Zhenyuan

Journal Article

Finite-time formation control for first-order multi-agent systems with region constraints

Zhengquan Yang, Xiaofang Pan, Qing Zhang, Zengqiang Chen,zquanyang@163.com,1219006322@qq.com,qz120168@hotmail.com,chenzq@nankai.edu.cn

Journal Article

Design and experimental validation of event-triggered multi-vehicle cooperation in conflicting scenarios

Zhanyi HU, Yingjun QIAO, Xingyu LI, Jin HUANG, Yifan JIA, Zhihua ZHONG

Journal Article

Adaptive tracking control of high-order MIMO nonlinear systems with prescribed performance

Xuerao Wang, Qingling Wang, Changyin Sun,wangxuerao@seu.edu.cn,qlwang@seu.edu.cn,cysun@seu.edu.cn

Journal Article

Rules Auto-conditioning Fuzzy Controller

Cheng Jin,Zhang Chenghui,Xia Dongwei

Journal Article

Model-free adaptive control for three-degree-of-freedom hybrid magnetic bearings

Ye YUAN, Yu-kun SUN, Qian-wen XIANG, Yong-hong HUANG, Zhi-ying ZHU

Journal Article

Adaptive tracking control for air-breathing hypersonic vehicles with state constraints

Gong-jun LI

Journal Article

Adaptive fuzzy integral sliding mode velocity control for the cutting system of a trench cutter

Qi-yan Tian, Jian-hua Wei, Jin-hui Fang, Kai Guo,jhfang@zju.edu.cn

Journal Article

The Adaptive Robust Controller of the Centrifuge

Li Guo,Zhang Peichang,Hu Jianfei,Yu Dafei

Journal Article