Robust Information Fusion Control for a Class of Nonlinear Discrete-time Systems

HU Zhou; WANG Zhisheng

doi:10.13976/j.cnki.xk.2014.0578

Volume 43 Issue 5

Oct. 2014

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INFORMATION AND CONTROL > 2014 > 43(5): 578-582. > DOI: 10.13976/j.cnki.xk.2014.0578 CSTR: 32166.14.xk.2014.0578

HU Zhou, WANG Zhisheng. Robust Information Fusion Control for a Class of Nonlinear Discrete-time Systems[J]. INFORMATION AND CONTROL, 2014, 43(5): 578-582. DOI: 10.13976/j.cnki.xk.2014.0578

Citation:

HU Zhou, WANG Zhisheng. Robust Information Fusion Control for a Class of Nonlinear Discrete-time Systems[J]. INFORMATION AND CONTROL, 2014, 43(5): 578-582. DOI: 10.13976/j.cnki.xk.2014.0578

Citation:

HU Zhou, WANG Zhisheng. Robust Information Fusion Control for a Class of Nonlinear Discrete-time Systems[J]. INFORMATION AND CONTROL, 2014, 43(5): 578-582. DOI: 10.13976/j.cnki.xk.2014.0578

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Robust Information Fusion Control for a Class of Nonlinear Discrete-time Systems

HU Zhou,
WANG Zhisheng^,

College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

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Received Date: March 25, 2013
Revised Date: March 05, 2014
Published Date: October 19, 2014

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Abstract

Abstract

A nonlinear robust information fusion control method is proposed for the control problems of a class of nonlinear discrete-time systems with matching disturbances. By adding a constraint on the disturbance in the performance index function, we convert the robust control problem into an optimal control problem, and then solve it with the information fusion control method. After the conversion process, using the information fusion control method can not only avoid the necessity of solving the nonlinear Riccati equation in the traditional optimal control problem, but also make the control system have a certain robust performance. The method depends on the discrete model of the controlled system, and is easily applied to engineering practices. The simulation results based on the model of two degrees of freedom in a mechanical arm verify the effectiveness of the robust information fusion control algorithm.
- information fusion control,
- robustness,
- nonlinear discrete system,
- manipulator

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