Finite-Time Filter Decentralized Control for Nonstrict-Feedback Nonlinear Large-Scale Systems

Sui, Shuai; Tong, Shaocheng; Chen, C. L. Philip

doi:10.1109/tfuzz.2018.2821629

Cited by 198 publications

(99 citation statements)

References 40 publications

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“…Therefore, it deserves further investigation for the suspension control systems by considering modeling error, nonlinear dynamics, and actuator implementation. Some other models, such as Markovian jump system model, 37,41 fuzzy and neural systems, 42‐47 and different design strategies, such as slide mode control, 32‐34 adaptive control, 36,47 can be combined with the proposed methods.…”

Section: Simulation Resultsmentioning

confidence: 99%

Nonfragile fault‐tolerant control of suspension systems subject to input quantization and actuator fault

Jun

Chang

Park

et al. 2020

Intl J Robust & Nonlinear

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This study addresses the quantized nonfragile feedback control problem for active suspension systems with and without actuator faults. By considering the input quantization, a class of dynamic quantizers is adopted. The multiplicative controller gain variation is used to describe the actuator parameter perturbation or uncertainty. Apart from the ride comfort, the road holding ability and the hard constraints on suspension deflection and actuator force are also taken into account, which can be treated as a multi-objective control problem. The redundancy of input quantization error is used to formulate the quantized closed-loop system via the descriptor representation approach, then a novel quantized control strategy based on state feedback by separately designing dynamic quantizer and controller is proposed for the closed-loop system with and without actuator faults. The design strategy is a unified and simple one, then can be easily extended to the case of static output feedback, as only part of the variables measured by sensors are available, which avoids some equality constraints in existing works. Finally, some simulation results are presented to validate the feasibility and effectiveness of the developed control strategies. K E Y W O R D S active suspension, input quantization, nonfragile fault-tolerant control, static output feedback 1 INTRODUCTION At present, vehicles are so popular and closely related to all aspects of human life. With the development of vehicle manufacturing and driverless technology, people pay more and more attention to the vehicle safety and riding comfort while liberating their hands. Due to the impact of vertical vibration on the vehicle performance and the drivers' fatigue, health, and discomfort, the vehicle suspension system (SS) is so crucial to inhibit these negative effects. However, the vehicle performance, such as the ride comfort, road holding stability, and maneuverability, generally conflicts with each other; therefore, when design the SS, considerable attention and effort have been paid for the control and optimization problem of these required suspension performances and realizing the trade-off between them. 1 Among different types of SSs, the active suspension system (ASS) is the more attractive ones, due to its great potential in terms of improving vehicle This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Section: Simulation Resultsmentioning

confidence: 99%

Nonfragile fault‐tolerant control of suspension systems subject to input quantization and actuator fault

Jun

Chang

Park

et al. 2020

Intl J Robust & Nonlinear

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“…To design a suitable feedback controller, the related problem of feedback passivation has been studied by transforming a nonpassive plant to a passive one [14,17,19,24]. By referring to communication channels of different types [25][26][27][28], the design of encoder or decoder will be directly used in our framework.…”

Section: Dynamic Modeling Of a Vgt Manipulatormentioning

confidence: 99%

Feedback passivity‐based control of discrete nonlinear systems with time‐delay for variable geometry truss manipulator

Zhao

2019

Asian Journal of Control

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In this paper, the feedback passivity-based control of nonlinear discrete time-delay systems for variable geometry truss manipulators is investigated. To determine an appropriate communication channel in the sense of feedback passivation, we first model the dynamics of the variable geometry truss manipulator as a generalized discrete nonlinear system with time-delay. Then we further prove that when the infinite norm of estimated error is bounded, as long as there is a controller enables the closed-loop system to be input-strictly passive, there must be a deterministic equivalent controller to ensure that the system is stochastically quasi passive. After that, on the basis of the conclusion obtained, a more conclusive corollary is addressed for linear plants. Though passivity is a stricter condition than stability, feedback passivation does not impose more restrictions on estimate errors, and therefore does not require more communication channel information than mean square stability. Finally, we simplify the variable geometry truss dynamics to a linear plant to simulate to verify the validity of our method, and also compared the experimental results with the methods in the existing literature.

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“…e experimental result has proved that the developed control strategy can make the output of the system have good tracking performance in a limited time [25]. Soon after, Sui et al presented a finite-time switching control method based on the backstepping recursive technique and the common Lyapunov function method and applied it to a mass springdamper system to prove the effectiveness [26].…”

Section: Introductionmentioning

confidence: 99%

Design of Robust Adaptive Fuzzy Controller for a Class of Single-Input Single-Output (SISO) Uncertain Nonlinear Systems

Lin

Zhou

Wang

et al. 2020

Mathematical Problems in Engineering

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In order to solve the precision and stability control problems of nonlinear uncertain systems applied in machining systems, in this paper, a robust adaptive fuzzy control technique based on Dynamic Surface Control (DSC) method is proposed for the generalized single-input single-output (SISO) uncertain nonlinear system. A first-order low-pass filter is introduced in each step of the traditional robust control method to overcome the "calculation expansion" problem, and Takagi-Sugeno (T-S) fuzzy logic system is applied to approximate an uncertain nonlinear function of unknown structure in the system. e designed robust adaptive fuzzy controller is applied to the 3D elliptical vibration cutting (3D EVC) device system model, and the effectiveness of the controller design is verified by analysis of position tracking, speed tracking, and tracking error. e results of studies show that the robust adaptive fuzzy controller can effectively suppress the jitter problem of the three-dimensional elliptical vibration cutting device so that the control object can be stabilized quickly even if it has a little jitter at the beginning. It can be smoothed to move along the ideal displacement and velocity signals. It is verified that the designed controller has strong robust adaptability. adaptive control and robust control methods cannot be used for controller design. However, for such problems, neural networks and fuzzy control can approximate uncertain continuous functions of the unknown structure in the system [11,12]. Ge et al. researched a robust adaptive neural network control method for a perturbed strictly feedback nonlinear system, which can guarantee the final boundedness in the case of unknown structural uncertainty [13]; Cao et al. proposed a new system control strategy using the global approximation property of the fuzzy system to approximate the unknown function of the designed system and ensure the stability of the whole system [14].However, in the system described above, it is satisfied that the unknown nonlinearity and the control input appear in the same state space model equation. In order to overcome the limitations of such systems, relevant research scholars have proposed adaptive post-push technology [4,6,15,16], furthermore successfully solved the constraint

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Finite-Time Filter Decentralized Control for Nonstrict-Feedback Nonlinear Large-Scale Systems

Cited by 198 publications

References 40 publications

Nonfragile fault‐tolerant control of suspension systems subject to input quantization and actuator fault

Nonfragile fault‐tolerant control of suspension systems subject to input quantization and actuator fault

Feedback passivity‐based control of discrete nonlinear systems with time‐delay for variable geometry truss manipulator

Design of Robust Adaptive Fuzzy Controller for a Class of Single-Input Single-Output (SISO) Uncertain Nonlinear Systems

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