Guaranteed cost control of exponential function projective synchronization of delayed complex dynamical networks with hybrid uncertainties asymmetric coupling delays

W. Weera, T. Botmart, P. Niamsup, N. Yotha
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Abstract

The problem of guaranteed cost control for exponential function projective synchronization (EFPS) for complex dynamical networks with mixed time-varying delays and hybrid uncertainties asymmetric coupling delays, composing of state coupling, time-varying delay coupling, and distributed time-varying delay coupling, is investigated. In this work, the uncertainties coupling configuration matrix need not be symmetric or irreducible. The guaranteed cost control for EFPS of delayed complex dynamical networks is considered via hybrid control with nonlinear and mixed linear feedback controls, including error linear term, time-varying delay error linear term, and distributed time-varying delay error linear term. Based on the construction of improved Lyapunov-Krasovskii functional with the technique of dealing with some integral terms, the new sufficient conditions for the existence of the optimal guaranteed cost control laws are presented in terms of linear matrix inequalities (LMIs). The obtained LMIs can be efficiently solved by standard convex optimization algorithms. Moreover, numerical examples are given to demonstrate the effectiveness of proposed guaranteed cost control for EFPS. The results in this article generalize and improve the corresponding results of the recent works.
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混合不确定性非对称耦合时滞复杂动态网络指数函数投影同步的保成本控制
研究了由状态耦合、时变延迟耦合和分布时变延迟耦合组成的具有混合时变延迟和混合不确定性的复杂动态网络的指数函数投影同步(EFPS)保成本控制问题。在这项工作中,不确定性耦合组态矩阵不必是对称的或不可约的。通过非线性和混合线性反馈控制的混合控制,包括误差线性项、时变延迟误差线性项和分布时变延迟误差线性项,研究了时滞复杂动态网络EFPS的保成本控制问题。利用处理积分项的方法构造改进的Lyapunov-Krasovskii泛函,用线性矩阵不等式的形式给出了最优保成本控制律存在的新的充分条件。所得到的lmi可以用标准凸优化算法有效地求解。最后,通过数值算例验证了所提保成本控制方法的有效性。本文的研究结果概括和完善了近年来相关研究的结果。
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