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The authors study an extended consensus problem for multi-agent systems, where the entire system is decentralised in the sense that each agent can only obtain information (states) from its neighbour agents. The concept `extended consensus` means that a combination of each agent`s state elements is required to converge to the same vector. For this extended consensus problem, they propose to reduce...
In this paper, the main attention is focused on transient property of control input signal, we propose a novel adaptive controller for time-continuous single-input single-output linear systems with an input saturation in which i-th derivatives of the output signal (i = 1, ??????, relative degree) are available. To improve the control performance, a novel estimator using an observer for the tracking...
In this paper, we study an extended consensus problem for multi-agent systems, where the entire system is decentralized in the sense that each agent can only obtain information (states or outputs) from its neighbor agents. The concept extended consensus means that a combination of each agent's state elements is required to converge to the same vector. For this extended consensus problem, we propose...
In this paper, we study a consensus problem for multi-agent systems via dynamic output feedback control. The entire system is decentralized in the sense that each agent can only obtain output information from its neighbor agents. In contrast to the existing graph Laplacian based algorithm, we propose to reduce the consensus problem on hand to solving a strict matrix inequality using appropriate coordinate...
In this paper, we study a consensus problem for multi-agent systems, where the entire system is decentralized in the sense that each agent can only obtain information (states or outputs) from its neighbor agents. Existing approaches in the literature are mostly based on graph Laplacian of the graph which describes the interconnection structure among the agents, and such methods can not deal with complicated...
Some convergence properties of the real-time calculation method for nonlinear optimal control problems are proved. We adopt the so-called 'algorithmic control' as one of the real-time optimization methods, which is based on the iterative algorithms for obtaining the numerical solutions. In this paper, we prove that either the necessary condition of optimality is satisfied or the value of the performance...
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