Xiao-Wen Zhao, Chen-An Zhou, Zhi-Wei Liu, Qiang Lai, Ming-Feng Ge
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引用次数: 0
Abstract
This paper investigates the prescribed-time distributed optimization control problem of multi-agent system subject to inequality constraints over directed networks. The log-barrier penalty function method is utilized to cope with the effects of inequality constraints. First, the relationship between the original problem and the processed unconstrained optimization problem is presented. By means of the zero-gradient-sum method and the integral sliding mode technique, the controller is designed such that the state of each agent converges to a vicinity of the optimal solution in a specified time. The interior point theorem ensures that the inequality constraints always hold. Numerical example is provided to verify the effectiveness of the theoretical analysis.
期刊介绍：
The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application.
Published six times a year, the Journal aims to be a key platform for control communities throughout the world.
The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive.
Topics include:
The theory and design of control systems and components, encompassing:
Robust and distributed control using geometric, optimal, stochastic and nonlinear methods
Game theory and state estimation
Adaptive control, including neural networks, learning, parameter estimation
and system fault detection
Artificial intelligence, fuzzy and expert systems
Hierarchical and man-machine systems
All parts of systems engineering which consider the reliability of components and systems
Emerging application areas, such as:
Robotics
Mechatronics
Computers for computer-aided design, manufacturing, and control of
various industrial processes
Space vehicles and aircraft, ships, and traffic
Biomedical systems
National economies
Power systems
Agriculture
Natural resources.
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