Tracking control over a finite interval for multi-agent systems with a time-varying reference trajectory
DOI10.1016/j.sysconle.2012.04.007zbMath1250.93013OpenAlexW1978631282MaRDI QIDQ450832
Deyuan Meng, Yingmin Jia, Fashan Yu, Junping Du
Publication date: 14 September 2012
Published in: Systems \& Control Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.sysconle.2012.04.007
directed graphiterative learning controldistributed algorithmsmulti-agent systemsformation controlfinite-time tracking control
Applications of graph theory (05C90) Learning and adaptive systems in artificial intelligence (68T05) Decentralized systems (93A14)
Related Items (32)
Cites Work
- Unnamed Item
- Iterative learning approaches to design finite-time consensus protocols for multi-agent systems
- Distributed finite-time \(\chi \)-consensus algorithms for multi-agent systems with variable coupling topology
- Decentralized finite-time sliding mode estimators and their applications in decentralized finite-time formation tracking
- On consensus algorithms for double-integrator dynamics without velocity measurements and with input constraints
- A new framework of consensus protocol design for complex multi-agent systems
- Analysis of consensus protocols with bounded measurement errors
- Synchronization of multi-agent systems with delayed control input information from neighbors
- Sufficient conditions for the convergence of a class of nonlinear distributed consensus algorithms
- Tracking control for multi-agent consensus with an active leader and variable topology
- Leader-following consensus of multi-agent systems under fixed and switching topologies
- Finite-time formation control for multi-agent systems
- Multi-vehicle consensus with a time-varying reference state
- Trajectory-keeping in satellite formation flying via robust periodic learning control
- A survey on iterative learning control for nonlinear systems
- Initial shift problem for robust iterative learning control systems with polytopic-type uncertainty
- Matrix Analysis
- On D-type and P-type ILC designs and anticipatory approach
- Consensus and Cooperation in Networked Multi-Agent Systems
- Robust Discrete-Time Iterative Learning Control for Nonlinear Systems With Varying Initial State Shifts
- Finite-Time Consensus Problems for Networks of Dynamic Agents
- Coordination of groups of mobile autonomous agents using nearest neighbor rules
- Initial shift issues on discrete-time iterative learning control with system relative degree
- Output Consensus of Heterogeneous Uncertain Linear Multi-Agent Systems
- Distributed Consensus With Limited Communication Data Rate
- Optimal Design for Synchronization of Cooperative Systems: State Feedback, Observer and Output Feedback
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