Abstract
This paper presents a new controller design technique for systems driven with impulse inputs. Necessary conditions for optimal impulse control are derived. A neural network structure to solve the resulting equations is presented. The solution concepts are illustrated with a few example problems that exhibit increasing levels of difficulty. Two linear problems-one scalar and one vector-and a benchmark nonlinear problem-Van Der Pol oscillator-are used as case studies. Numerical results show the efficacy of the new solution process for impulse driven systems. Since the theoretical development and the design technique are free from restrictive assumptions, this technique is applicable to many problems in engineering and science.
Recommended Citation
X. Wang and S. N. Balakrishnan, "Optimal Neuro-Controller Synthesis for Impulse-Driven System," Proceedings of the 2007 American Control Conference (2007, Marriott Marquis Hotel at Times Square New York City, NY), Institute of Electrical and Electronics Engineers (IEEE), Jan 2007.
The definitive version is available at https://doi.org/10.1109/ACC.2007.4282911
Meeting Name
2007 American Control Conference (2007: Jul. 11-13, Marriott Marquis Hotel at Times Square New York City, NY)
Department(s)
Mechanical and Aerospace Engineering
Sponsor(s)
National Science Foundation (U.S.)
Keywords and Phrases
Control System Synthesis; Neurocontrollers; Nonlinear Control Systems; Optimal Control
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2007 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 2007
