Small-gain based stabilizing control for hybrid systems: Application to bipedal walking robot

被引:0
作者
Khademian, Fatemeh [1 ]
Rahmani, Mehdi [1 ]
机构
[1] Imam Khomeini Int Univ, Dept Elect Engn, Qazvin, Iran
关键词
control system synthesis; Lyapunov methods; robots; stability; MODEL-PREDICTIVE CONTROL; SMOOTH LYAPUNOV FUNCTIONS; TO-STATE STABILITY; SWITCHED SYSTEMS; THEOREMS; EXISTENCE;
D O I
10.1049/cth2.12612
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 study presents a systematic methodology for developing a stabilizing controller for a general hybrid systems model. The approach is based on utilizing the small-gain theorem as a means of constructing the Lyapunov function and analyzing the input-output stability of the subsystems in the feedback loop. By considering the control system in a closed-loop configuration with the hybrid system, the small-gain theorem can be applied. In this scheme, a dynamic control system is proposed that satisfies the closed-loop stability conditions. This method applies to various hybrid systems' applications due to its generality. To demonstrate the effectiveness and performance of the proposed control approach, two simulation examples, including a linear hybrid system and a bipedal walking robot, are examined. This paper presents a systematic methodology for developing a stabilizing controller for hybrid systems. The approach is based on utilizing the small-gain theorem as a means of constructing the Lyapunov function. A dynamic control system is proposed such that satisfies the closed-loop stability conditions.image
引用
收藏
页码:784 / 797
页数:14
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