NDLI: Adaptive control of MIMO mechanical systems with unknown actuator nonlinearities based on the Nussbaum gain approach

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Year : 2016 Volume : 3

Issue 1

Contents

A comprehensive overview of cyber-physical systems: from perspective of feedback system

Theory and application of multi-robot service-oriented architecture

Adaptive control of MIMO mechanical systems with unknown actuator nonlinearities based on the Nussbaum gain approach

Manipulations between eigenstates of 2-level quantum system based on optimal measurements

Characteristic model-based discrete-time sliding mode control for spacecraft with variable tilt of flexible structures

Kalman filtering for delayed singular systems with multiplicative noise

Iterative learning control for discrete-time stochastic systems with quantized information

A clustering-tree topology control based on the energy forecast for heterogeneous wireless sensor networks

MAS based distributed automatic generation control for cyber-physical microgrid system

Performance measures for systems under multiple environments

Output-feedback dynamic surface control for a class of nonlinear non-minimum phase systems

Adaptive robust control for a class of uncertain MIMO non-affine nonlinear systems

Chinese Association of Automation

IEEE/CAA Journal of Automatica Sinica

Call for Papers - Special Issue on Human-Centered Intelligent Robots: Issues and Challenges

Call for Papers - Special Issue on IoT-based Smart and Complex Systems

Call for Papers - Special Issue Issues in Robust Safety Control and Intelligent Fault Processing

Year : 2015 Volume : 2

Year : 2014 Volume : 1

Adaptive control of MIMO mechanical systems with unknown actuator nonlinearities based on the Nussbaum gain approach

Content Provider	IEEE Xplore Digital Library
Author	Ci Chen Zhi Liu Yun Zhang Philip Chen, C.L. Shengli Xie
Copyright Year	2014
Abstract	This paper investigates MIMO mechanical systems with unknown actuator nonlinearities. A novel Nussbaum analysis tool for MIMO systems is established such that unknown time-varying control coefficients are tackled. In contrast to existing literatures on continuous-time systems, the newly-developed Nussbaum tool focuses on extending the traditional Nussbaum result from one dimensional case to the multiple one. Specifically, not only the multiple unknown input coefficients are extended to the time-varying, but also the limitation of the prior knowledge of coefficients' upper and lower bounds is removed. Furthermore, an adaptive robust controller associated with the proposed tool is presented. The asymptotic tracking of MIMO mechanical systems is guaranteed with the help of the Lyapunov Theorem. Finally, a simulation example is provided to examine the validity of the proposed scheme.
Starting Page	26
Ending Page	34
Page Count	9
File Size	2089180
File Format	PDF
ISSN	23299266
Volume Number	3
Issue Number	1
Language	English
Publisher Date	2016-01-10
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Chinese Association of Automation
Subject Keyword	Actuators Mechanical systems MIMO Adaptive control Nonlinear systems Symmetric matrices asymptotic tracking Actuator nonlinearities time varying control coefficients Nussbaum analysis
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Artificial Intelligence Control and Systems Engineering Information Systems

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Adaptive control of MIMO mechanical systems with unknown actuator nonlinearities based on the Nussbaum gain approach

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