- Title
- Sampled-data synchronization control of multi-agent systems
- Creator
- Chen, Xi
- Relation
- University of Newcastle Research Higher Degree Thesis
- Resource Type
- thesis
- Date
- 2015
- Description
- Research Doctorate - Doctor of Philosophy (PhD)
- Description
- The collective control of multi-agent systems has attracted more and more researcher's attention in past decades due to its wide applications in different areas. This thesis mainly studies two aspects of the collective control problems of multi-agent systems, specifically, consensus of linear multi-agent systems and synchronizarion of nonlinear and heterogenous multi-agent systems. Moreover, the controllers designed throughout the whole thesis are in sampled-data versions. For consensus of linear multi-agent systems, I firstly establish a general linear dynamic for each individual, and assume that the communication topology among the agents is fixed. After proposing the sampled-data controller, it is shown that the consensus problem is equivalent to a stability problem of a continuous-time system with a time-varying time delay. Lyapunov-Razumikbin approach is used to deal with the stability problem. I then further consider a more general case where only the union of the communication topologies has a smapping tree and only the measurement output infomration of the agents are available for the controller in sampled-data setup. This problem is proved to be equivalent to a stability problem of a discrete-time system. Lyapunov-based approach is applied to solve it. For synchronization of nonlinear and heterogeneous multi-agents, I solve the problem by two steps. The first step is to design a linear reference model for each individual and to make the reference models reach consensus under the designed controllers. The second step is to design a sampled-data controller for each individual to make the output traching its own reference model. The analysis for consensus of linear MASs can be used directly for step one, thus, I am only concerned with the step two for synchronization of nonlinear and heterogenous multi-agents, and I call this problem in a two-step mannar, that is, I firstly design a continuous dynamic controller and discretize it to the sampled-data version. Throughout the thesis, the aforementioned two main problems will be stated in five chapters. Moreover, the Introduction and Conclusion are at the beginning and the end of the thesis, respectively. The effectiveness of control design framework is supported tepretically by rigorous proof and practically validated by numerical simulation.
- Subject
- sampled-data; synchronization; multi-agent systems
- Identifier
- http://hdl.handle.net/1959.13/1294248
- Identifier
- uon:18768
- Rights
- Copyright 2015 Xi Chen
- Language
- eng
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