Journal article
Optimal Output Regulation for Heterogeneous Multiagent Systems via Adaptive Dynamic Programming
IEEE transaction on neural networks and learning systems, v 28(1), pp 18-29
01 Jan 2017
PMID: 26625433
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In this paper, the optimal output regulation problem for partially model-free heterogeneous linear multiagent systems with disturbance generated by an exosystem is addressed by using adaptive dynamic programming and double compensator method. The topology graph for the information exchange of the agents has a spanning tree. The dynamic of individual agent is assumed to be nonidentical and of different dimensions. One distributed compensator is designed to deal with the nonidentical agents, and the other compensator is used to handle the optimal performance index. By constructing the double compensator, the distributed feedback control laws are designed to make the output of each agent synchronize with the reference output and minimize the energy of the output error simultaneously. To overcome the lack of the dynamics knowledge of each agent, a novel online policy iteration algorithm is developed to obtain the optimal feedback gain matrix. Finally, two examples are presented to illustrate the effectiveness of our results.
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Details
- Title
- Optimal Output Regulation for Heterogeneous Multiagent Systems via Adaptive Dynamic Programming
- Creators
- Huaguang Zhang - Northeastern UniversityHongjing Liang - Northeastern UniversityZhanshan Wang - Northeastern UniversityTao Feng - Northeastern University
- Publication Details
- IEEE transaction on neural networks and learning systems, v 28(1), pp 18-29
- Publisher
- IEEE
- Number of pages
- 12
- Grant note
- 2013ZCX14 / Integrated Automation of Process Industry Fundamental Research Funds Development Project through the Key Laboratory of Liaoning Province 61433004 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000391725000003
- Scopus ID
- 2-s2.0-85019482855
- Other Identifier
- 991019320710304721
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- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Hardware & Architecture
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic