Quantized feedback control for nonlinear feedforward systems with unknown output functions and unknown control coefficients

被引:7
作者
Wang, Ping [1 ]
Yu, Chengpu [1 ]
Sun, Jian [1 ]
机构
[1] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
nonlinear feedforward systems; quantized feedback control; sector bound approach; unknown output function; LINEAR-SYSTEMS; UNCERTAIN SYSTEMS; STABILIZATION; INPUT; DESIGN; GAIN;
D O I
10.1002/rnc.4596
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper investigates the quantized feedback control for nonlinear feedforward systems with unknown output functions and unknown control coefficients. The unknown output function is Lipschitz continuous but may not be derivable, and the unknown control coefficients are assumed to be bounded. To deal with this challenging quantized control problem, a time-varying low-gain observer is designed and a delicate time-varying scaling transformation is introduced, which can avoid using the derivative information of the output function. Then, based on the well-known backstepping method and the sector bound approach, a time-varying quantized feedback controller is designed using the quantized output, which can achieve the boundedness of the closed-loop system states and the convergence of the original system states. Moreover, a guideline is provided for choosing the parameters of the input and output quantizers such that the closed-loop system is stable. Finally, two simulation examples are given to show the effectiveness of the control scheme.
引用
收藏
页码:4002 / 4021
页数:20
相关论文
共 50 条
[31]   Adaptive NN output-feedback control for stochastic time-delay nonlinear systems with unknown control coefficients and perturbations [J].
Min, Hui-Fang ;
Duan, Na .
NONLINEAR ANALYSIS-MODELLING AND CONTROL, 2016, 21 (04) :515-530
[32]   Robust PI-Type Output Feedback Control of Unknown Nonlinear Systems [J].
Gao, Xifeng ;
Li, Xingchen ;
Xiao, Jichun ;
Hao, Lina .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 69 (09) :9396-9405
[33]   Design of output feedback controller for stochastic feedforward systems with unknown measurement sensitivity [J].
Li, Hanfeng ;
Zhang, Xianfu ;
Li, Min .
ISA TRANSACTIONS, 2020, 97 :182-188
[34]   Adaptive Output Feedback Control for Switched Stochastic Nonlinear Systems with Time-varying Parameters and Unknown Output Functions [J].
Ye, Hui ;
Jiang, Bin ;
Yang, Hao .
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2019, 17 (11) :2807-2818
[35]   Observer-based adaptive fuzzy quantized control of uncertain nonlinear systems with unknown control directions [J].
Li, Yuan-Xin ;
Yang, Guang-Hong .
FUZZY SETS AND SYSTEMS, 2019, 371 :61-77
[36]   Adaptive tracking control for stochastic nonlinear systems with unknown virtual control coefficients [J].
Zhao, Yajing ;
Liu, Cungen ;
Liu, Xiaoping ;
Wang, Huanqing ;
Zhou, Yucheng .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2022, 32 (03) :1331-1354
[37]   Adaptive neural output feedback control for stochastic nonlinear time-delay systems with unknown control directions [J].
Yu, Zhaoxu ;
Li, Shugang ;
Du, Hongbin .
NEURAL COMPUTING & APPLICATIONS, 2014, 25 (7-8) :1979-1992
[38]   Adaptive Stabilization for Feedforward Nonlinear Systems with Unknown Control Direction [J].
Shang Fang ;
Liu Yun-gang ;
Zhang Mei ;
Zhang Xian-fu .
2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, :615-619
[39]   Adaptive Fuzzy Dynamic Surface Control of Nonlinear Constrained Systems With Unknown Virtual Control Coefficients [J].
Wang, Lijie ;
Chen, C. L. Philip .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 28 (08) :1737-1747
[40]   Bounded Analysis and Practical Tracking Control of Complex Stochastic Nonlinear Systems with Unknown Control Coefficients [J].
Guo, Long-Chuan ;
Fang, Xiang-Kun .
COMPLEXITY, 2020, 2020