A time-varying high-gain approach to feedback regulation of uncertain time-varying nonholonomic systems. (March 2020)

• Record Type: Journal Article
• Authors: Chen, Xiandong; Zhang, Xianfu; Zhang, Chenghui; Chang, Le
• Is Part Of: ISA transactions. Volume 98(2020)
• Page Start: 110
• Page End: 122
• Publication Date: 2020-03
• Subjects: Nonholonomic systems -- Time-varying systems -- Uncertainty -- High-gain method -- Feedback regulation; Engineering instruments -- Periodicals; Engineering instruments; Periodicals; Electronic journals; 629.805
• DOI: 10.1016/j.isatra.2019.08.062
• Languages: English
• ISSNs: 0019-0578

Abstract

Abstract: In this paper, novel state feedback and output feedback control strategies are proposed to regulate a class of uncertain time-varying nonholonomic systems with lower-triangular nonlinearities. The nonlinearities admit an incremental rate depending on an unknown parameter and an essential time-varying function. By means of the input-state-scaling technique, the involved systems are firstly transformed into a class of lower-triangular systems. The time-varying high-gain method is then introduced to tackle the system uncertainties and essential time-varying features simultaneously, and based on this, the time-varying state feedback controllers are constructed to achieve the state feedback regulation of the involved systems. Finally a time-varying high-gain observer is proposed to effectively compensate for system uncertainties and essential time-varying features, and on the basis of this, the time-varying output feedback controllers are constructed to achieve the output feedback regulation of the involved systems. Two illustrative examples are provided to demonstrate the effectiveness of the proposed control strategies. Highlights: Time-varying controllers are proposed to regulating uncertain nonholonomic systems. The uncertainties in the considered nonholonomic systems are more essential. The time-varying features can be allowed to be more serious than the existing works. The high-gain method, rather than adaptive backstepping method is introduced here.