Regular Papers
International Journal of Control, Automation and Systems 2014; 12(5): 963-968
Published online August 30, 2014
https://doi.org/10.1007/s12555-013-0323-2
© The International Journal of Control, Automation, and Systems
Exponential State Estimation for Stochastic Complex Dynamical Networks with Multi-Delayed Base on Adaptive Control
This paper discusses the exponential state estimation problem for stochastic complex dynamical networks involving multi-delayed and adaptive control. A new approach, very different to the linear matrix inequality (LMI) method, has been developed to solve the above problem. Meanwhile, some sufficient conditions are derived to ensure the exponential stability in pth moment for the dynamics of state estimator error. The feedback gain update law is found by the adaptive control technique. An illustrative example is provided to show the usefulness and effectiveness of the proposed design method.
Keywords Adaptive control, complex dynamical networks, exponential state estimation, multi-delayed, stochastic noise.
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Regular Papers
International Journal of Control, Automation and Systems 2014; 12(5): 963-968
Published online October 1, 2014 https://doi.org/10.1007/s12555-013-0323-2
Copyright © The International Journal of Control, Automation, and Systems.
Exponential State Estimation for Stochastic Complex Dynamical Networks with Multi-Delayed Base on Adaptive Control
Dongbing Tong*, Wuneng Zhou*, and Han Wang
Donghua University
Abstract
This paper discusses the exponential state estimation problem for stochastic complex dynamical networks involving multi-delayed and adaptive control. A new approach, very different to the linear matrix inequality (LMI) method, has been developed to solve the above problem. Meanwhile, some sufficient conditions are derived to ensure the exponential stability in pth moment for the dynamics of state estimator error. The feedback gain update law is found by the adaptive control technique. An illustrative example is provided to show the usefulness and effectiveness of the proposed design method.
Keywords: Adaptive control, complex dynamical networks, exponential state estimation, multi-delayed, stochastic noise.
Vol. 23, No. 3, pp. 683~972
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