Finite time adaptive filter control of nonlinear systems with actuator faults and state constraints

A novel multi‐input multi‐output adaptive control strategy applied to the combined active front steering (AFS) and direct yaw moment control (DYC) system is proposed in this paper. Studies have been conducted to show the potential for electric vehicles to be affected by time delay, which may appear in states. Aiming to address the state delay, radial basis function neural network (RBFNN) and Lyapunov‐Krakovskii functional‐based AFS and DYC controllers are constructed, which also can process the parameter uncertainties due to the powerful ability of RBFNN to approximate the unknown terms. Meanwhile, the controller is designed to incorporate the barrier Lyapunov function so that the state variables under control, including the sideslip angle and yaw rate, remain in their respective stable ranges while accurately tracking the corresponding desired values. Co‐simulations utilizing Simulink and CarSim are implemented for verifying the effectiveness of the proposed control scheme and comparing it with the traditional control scheme.

Section: Introductionmentioning

confidence: 99%

An RBFNN‐based constraint control algorithm for electric vehicle AFS + DYC system with state delays and uncertain parameters

Zhou,

He,

Cai

et al. 2024

“…In the course of recent developments in cybernetics [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20], the backstepping method [10,17,19], as a universal and efficient mathematical tool, has been extensively utilized for nonlinear systems with practical research implications. Nevertheless, quite a lot of practical systems, such as Brusselator model [21], stirred tank reactor system [22], and ultrasonic motor system [23], are modeled in nonaffine forms.…”

Section: Introductionmentioning

confidence: 99%

Adaptive robust control of nonaffine nonlinear systems via an improved event‐triggered mechanism

Wan,

Pan,

et al. 2024

This paper aims to address the problem of event‐based adaptive robust control for a class of nonaffine nonlinear systems against actuator faults and unknown deception attacks. Firstly, different from the widely used relative threshold triggering mechanism, an improved event‐triggered mechanism with the time‐varying function threshold is devised for effectively saving more communication costs between controller and actuator. Then, based on a class of modified filter‐based coordinate transformations and the improved event‐triggered mechanism, the intermediate virtual control laws are devised to construct actual controllers, which not only guarantees robust stabilization of the system but also relaxes the universal assumptions on control coefficients and attack weights. Besides, the design challenges resulting from the presence of coupling terms in the nonaffine nonlinear system are successfully overcome by virtue of mean value theorem and the property of fuzzy basis function. Theoretical analysis proves that all signals of the closed‐loop system are semiglobally uniformly ultimately bounded (SUUB) and the Zeno behavior can be averted. Finally, the effectiveness of the proposed strategy is verified via comprehensive simulation results.

“…Many systems in natural can be modeled as switched systems [1][2][3][4]. Lots of results on stability analysis and control synthesis of switched systems have been obtained [5][6][7][8][9][10][11][12][13]. To mention a few, based on a new integral inequality and the piecewise Lyapunov-Krasovskii functional technique, Wang et al [14] solved the asynchronous switching problem between the system and the controller.…”

Section: Introductionmentioning

confidence: 99%

Time‐regularization event‐triggered H∞ control for switched linear systems with frequent asynchronism

Wang

2023

This paper addresses the time‐regularization event‐triggered control problem for a class of continuous‐time switched systems with frequent asynchronism and external disturbances. In the system, both the system state and the switching information are transmitted to the controller only at the event‐triggered sampling instants, which may cause the occurrence of asynchronous switching behavior. To solve the problem, we first propose a time‐regularization event‐triggered mechanism, which not only avoids Zeno behavior efficaciously, but also allows the system to switch multiple times in the holding interval. Then, based on the time‐regularization event‐triggered mechanism, the error system is modeled as a sampled switched delay system with augmented switching signal. After that, sufficient conditions for the exponentially stability and weighted performance of the switched system under average dwell time are derived by constructing multiple switching Lyapunov functions. Finally, a circuit example is given to illustrate the effectiveness of the proposed method.