Adaptive tracking control for switched stochastic nonlinear systems with unknown actuator dead-zone

Zhao, Xudong; Shi, Peng; Zheng, Xiaolong; Zhang, Lixian

doi:10.1016/j.automatica.2015.07.022

Cited by 330 publications

(128 citation statements)

References 29 publications

Supporting

Mentioning

128

Contrasting

Order By: Relevance

“…In our future investigation, a more realistic vehicle model that contains nonlinearities and uncertainties will be taken into consideration for controller design, and more advanced control concepts [26][27][28][29] which better handle nonlinearities and uncertainties will be employed to further enhance the control performance. Besides, the existing vehicle dynamic control systems for conventional four-wheel-drive vehicles have been experimentally tested and commercialised.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Study on stability and handling characteristics and control of four-wheel-drive electric vehicles

Huang

2017

Advances in Mechanical Engineering

View full text Add to dashboard Cite

Along with the advent of four-wheel-drive electric vehicles, plenty of control strategies have been proposed for such vehicles to coordinate the torque distribution between the four driving wheels. However, how the torque distribution fundamentally affects stability and handling and how the stability/handling characteristics shed light on control system design still require more in-depth investigation. In this article, the stability and handling performances of such electric vehicles are investigated by means of CarSim-Simulink co-simulation. Based on the stability/handling characteristics, a controller is designed to actively adjust the front-rear torque distribution, and another controller is devised to actively tune the left-right torque distribution. The effectiveness of the proposed controllers is verified through CarSimSimulink co-simulation. The simulation results indicate that the former controller improves stability especially on slippery road surfaces, and the latter controller not only enhances handling in common driving scenarios but also guarantees stability in critical driving conditions.

show abstract

Section: Conclusion and Discussionmentioning

confidence: 99%

Study on stability and handling characteristics and control of four-wheel-drive electric vehicles

Huang

2017

Advances in Mechanical Engineering

View full text Add to dashboard Cite

show abstract

“…As an interesting issue of the above two aspects, some essential results have been reported for switched stochastic nonlinear systems [30][31][32]. In [30], the tracking control problem of switched stochastic nonlinear systems with non-symmetric actuator dead-zone was solved.…”

Section: Introductionmentioning

confidence: 99%

“…In [30], the tracking control problem of switched stochastic nonlinear systems with non-symmetric actuator dead-zone was solved. In [31], the global stabilization problem was considered for a class of switched stochastic nonlinear systems.…”

Section: Introductionmentioning

confidence: 99%

Adaptive tracking control for a class of non-affine switched stochastic nonlinear systems with unmodeled dynamics

Mao

Huang

Xiang

2016

Neural Comput & Applic

View full text Add to dashboard Cite

This paper proposes an adaptive tracking control scheme for a class of non-affine switched stochastic nonlinear systems with unmeasured states and stochastic inverse dynamics. K-filters are used to estimate unmeasured states, and a changing supply function is introduced to deal with stochastic inverse dynamics. By using neural networks, dynamic surface technique and common Lyapunov function method, a controller and adaptive laws are designed for the considered system. The proposed control scheme guarantees that all signals of the closed-loop system are bounded in probability. Finally, a simulation example is presented to show the effectiveness of the proposed method.

show abstract

“…On the other hand, many researchers study the adaptive control problem of switched systems with uncertain parameters [18][19][20] with the development of adaptive control, and preliminary results have been obtained [21,22]. In [23], an adaptive tracking controller is designed for switched stochastic nonlinear systems with unknown actuator dead-zone; the satisfying control performance is obtained as well. Among the aforementioned works, few authors have addressed the important issue that considering the uncertainty and the constraint together.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Control of a Class of Switched Nonlinear System with Partial State Constraints Using a Barrier Lyapunov Function

Cui

Jing

Gao

2017

Mathematical Problems in Engineering

View full text Add to dashboard Cite

This paper discusses partial state constraint adaptive tracking control problem of switched nonlinear systems with uncertain parameters. In order to ensure boundedness of the outputs and prevent the states from violating the constraints, a barrier Lyapunov function (BLF) is employed. Based on backstepping method, an adaptive controller for the switched system is designed. Furthermore, the state-constrained asymptotic tracking under arbitrary switching is performed. The closed-loop signals keep bounded when the initial states and control parameters are given. Finally, examples and simulation results are reported to illustrate the effectiveness of the proposed controller.

show abstract

Adaptive tracking control for switched stochastic nonlinear systems with unknown actuator dead-zone

Cited by 330 publications

References 29 publications

Study on stability and handling characteristics and control of four-wheel-drive electric vehicles

Study on stability and handling characteristics and control of four-wheel-drive electric vehicles

Adaptive tracking control for a class of non-affine switched stochastic nonlinear systems with unmodeled dynamics

Adaptive Control of a Class of Switched Nonlinear System with Partial State Constraints Using a Barrier Lyapunov Function

Contact Info

Product

Resources

About