Journal article
LQR-Based Optimal Distributed Cooperative Design for Linear Discrete-Time Multiagent Systems
IEEE transaction on neural networks and learning systems, v 28(3), pp 599-611
01 Mar 2017
PMID: 26540717
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In this paper, a novel linear quadratic regulator (LQR)-based optimal distributed cooperative design method is developed for synchronization control of general linear discretetime multiagent systems on a fixed, directed graph. Sufficient conditions are derived for synchronization, which restrict the graph eigenvalues into a bounded circular region in the complex plane. The synchronizing speed issue is also considered, and it turns out that the synchronizing region reduces as the synchronizing speed becomes faster. To obtain more desirable synchronizing capacity, the weighting matrices are selected by sufficiently utilizing the guaranteed gain margin of the optimal regulators. Based on the developed LQR-based cooperative design framework, an approximate dynamic programming technique is successfully introduced to overcome the (partially or completely) model-free cooperative design for linear multiagent systems. Finally, two numerical examples are given to illustrate the effectiveness of the proposed design methods.
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Details
- Title
- LQR-Based Optimal Distributed Cooperative Design for Linear Discrete-Time Multiagent Systems
- Creators
- Huaguang Zhang - Northeastern UniversityTao Feng - Northeastern UniversityHongjing Liang - Northeastern UniversityYanhong Luo - Northeastern University
- Publication Details
- IEEE transaction on neural networks and learning systems, v 28(3), pp 599-611
- Publisher
- IEEE
- Number of pages
- 13
- Grant note
- 2013ZCX14 / Integrated Automation of Process Industry Fundamental Research Funds 61433004; 61034005 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC) 2012AA040104 / National High Technique Research and Development Program, China Development Project of Key Laboratory, Liaoning Province
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000395980500010
- Scopus ID
- 2-s2.0-85026852044
- Other Identifier
- 991019320715104721
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- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Hardware & Architecture
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic