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

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.

Article

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.

IJCAS
May 2024

Vol. 22, No. 5, pp. 1461~1759

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