Adaptive Fuzzy Fixed-Time Control of Switched Systems: Mode-Dependent Power Integrator Method

被引：11

作者：

Chen, Yanxian ^{[1
]}

Liu, Zhi ^{[1
]}

Chen, C. L. Philip ^{[2
]}

Zhang, Yun ^{[1
]}

机构：

[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China

[2] South China Univ Technol, Sch Comp Sci & Engn, Guangzhou 510006, Peoples R China

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2022年 / 52卷 / 11期

关键词：

Switches; Control systems; Switched systems; Nonlinear systems; Adaptive systems; Lyapunov methods; Convergence; Adaptive fuzzy fixed-time control; fuzzy deadzone; power integrator; switched nonlinear systems; OUTPUT-FEEDBACK CONTROL; NONLINEAR-SYSTEMS; TRACKING CONTROL; DEAD-ZONE; STABILIZATION; DESIGN; STABILITY; APPROXIMATION;

D O I：

10.1109/TSMC.2021.3131484

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The compensation for uncertain deadzone is of both theoretical and practical importance in the adaptive fixed-time control of switched systems. So far, there exists no result reported on this problem because it is difficult to construct a fixed-time controller in the presence of the complicated switched network topology and the deadzone input. By using a newly proposed mode-dependent power integrator (MPI) method and a fuzzy deadzone model, a novel mode-dependent fuzzy fixed-time controller is presented to overcome the above problem. The proposed MPI method is more applicable in practice than the power integrator method in which each subsystem in the underlying system has its own power integrator. Stability analysis and simulation examples can be utilized to confirm the feasibility of the presented design.

引用

页码：6998 / 7012

页数：15

共 59 条

[1] Finite-time stability of linear time-varying systems with jumps [J].

Amato, Francesco ;

Ambrosino, Roberto ;

Ariola, Marco ;

Cosentino, Carlo .

AUTOMATICA, 2009, 45 (05) :1354-1358

[2] Homogeneous approximation, recursive observer design, and output feedback [J].

Andrieu, Vincent ;

Praly, Laurent ;

Astolfi, Alessandro .

SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2008, 47 (04) :1814-1850

[3]

[Anonymous], 1999, A course in fuzzy systems

[4] Fixed-time adaptive neural tracking control for a class of uncertain nonstrict nonlinear systems [J].

Ba, Desheng ;

Li, Yuan-Xin ;

Tong, Shaocheng .

NEUROCOMPUTING, 2019, 363 :273-280

[5] Continuous finite-time stabilization of the translational and rotational double integrators [J].

Bhat, SP ;

Bernstein, DS .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1998, 43 (05) :678-682

[6] Finite-time stability of continuous autonomous systems [J].

Bhat, SP ;

Bernstein, DS .

SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2000, 38 (03) :751-766

[7] Multiple Lyapunov functions and other analysis tools for switched and hybrid systems [J].

Branicky, MS .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1998, 43 (04) :475-482

[8] Adaptive finite-time control for a class of switched nonlinear systems using multiple Lyapunov functions [J].

Cai, Mingjie ;

Xiang, Zhengrong ;

Guo, Jian .

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2017, 48 (02) :324-336

[9] Adaptive fuzzy finite-time control for a class of switched nonlinear systems with unknown control coefficients [J].

Cai, Mingjie ;

Xiang, Zhengrong .

NEUROCOMPUTING, 2015, 162 :105-115

[10] Integral-interval barrier Lyapunov function based control of switched systems with fuzzy saturation-deadzone [J].

Chen, Yanxian ;

Liu, Zhi ;

Chen, C. L. Philip ;

Zhang, Yun .

NONLINEAR DYNAMICS, 2021, 104 (04) :3809-3826

← 1 2 3 4 5 6 →