The Experts below are selected from a list of 222 Experts worldwide ranked by ideXlab platform
Y.-s. Zhong - One of the best experts on this subject based on the ideXlab platform.
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Formation controllability of high-order Linear Time-Invariant swarm systems
IET Control Theory & Applications, 2010Co-Authors: Y.-s. ZhongAbstract:The controllability problem of high-order Linear Time-Invariant (LTI) continuous-Time swarm systems is investigated. A necessary and sufficient condition for complete controllability of homogeneous swarm systems is given. The controllability of graph is important and is analysed in detail. The concept of formation controllability is proposed and the relationship between complete controllability and formation controllability is studied.
Yisheng Zhong - One of the best experts on this subject based on the ideXlab platform.
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swarm stability of high order Linear Time Invariant swarm systems
Iet Control Theory and Applications, 2011Co-Authors: J X Xi, Yisheng ZhongAbstract:In this study the swarm stability problem of high-order Linear Time-Invariant (LTI) swarm systems with directed graph topology is dealt with. Consensus can be regarded as a specific type of swarm stability problem. Necessary and sufficient conditions for both swarm stability and consensus are presented. These conditions depend on the graph topology, the dynamics of agents and the interactions among the neighbours. Simulation instances are shown to illustrate the theoretical results.
J X Xi - One of the best experts on this subject based on the ideXlab platform.
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swarm stability of high order Linear Time Invariant swarm systems
Iet Control Theory and Applications, 2011Co-Authors: J X Xi, Yisheng ZhongAbstract:In this study the swarm stability problem of high-order Linear Time-Invariant (LTI) swarm systems with directed graph topology is dealt with. Consensus can be regarded as a specific type of swarm stability problem. Necessary and sufficient conditions for both swarm stability and consensus are presented. These conditions depend on the graph topology, the dynamics of agents and the interactions among the neighbours. Simulation instances are shown to illustrate the theoretical results.
K. Mcauley - One of the best experts on this subject based on the ideXlab platform.
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Identifiability of Linear Time-Invariant differential-algebraic systems, using generalized Markov parameters
Proceedings of the 2003 American Control Conference 2003., 2003Co-Authors: J. Mclellan, K. McauleyAbstract:A method for testing the identifiability of Linear Time-Invariant differential algebraic equation systems based on generalized Markov parameters is proposed by S. Vajda (1985) for ordinarily differential equation systems. The generalized Markov parameters are computed, and their connection to identifiability is discussed. Necessary and sufficient conditions for identifiability of Linear Time-Invariant differential algebraic systems are given. Finally, an idealized gas-phase chemical reactor is used to demonstrate the method.
J. Mclellan - One of the best experts on this subject based on the ideXlab platform.
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Identifiability of Linear Time-Invariant differential-algebraic systems, using generalized Markov parameters
Proceedings of the 2003 American Control Conference 2003., 2003Co-Authors: J. Mclellan, K. McauleyAbstract:A method for testing the identifiability of Linear Time-Invariant differential algebraic equation systems based on generalized Markov parameters is proposed by S. Vajda (1985) for ordinarily differential equation systems. The generalized Markov parameters are computed, and their connection to identifiability is discussed. Necessary and sufficient conditions for identifiability of Linear Time-Invariant differential algebraic systems are given. Finally, an idealized gas-phase chemical reactor is used to demonstrate the method.