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As human beings, we coordinate movements and interact with our environment through sensory information and motor adaptation in our daily lives. Many characteristics of these interactions can be studied using optimization-based models, which assume that the precise knowledge of both the sensorimotor system and its interacting environment is available for the central nervous system (CNS). However, when...
In recent years, the tolerance of complex networks gains increasingly concerned, and has become a hot topic. In this paper, we give a concise overview of the current research progress on the topic, mainly from two aspects which are attack strategies and defense strategies. We discuss the relevant problems and methods and outline a future trend of the research.
This paper presents a robust optimal controller design for unknown nonlinear systems from a perspective of robust adaptive dynamic programming (robust-ADP). The proposed methodology has several novel features. First, the class of nonlinear systems studied in the paper allows for the presence of dynamic uncertainties with unmeasured state and uncertain system order/dynamics. Second, in the absence...
We propose a framework of robust approximate dynamic programming (robust-ADP), which is aimed at computing globally asymptotically stabilizing, suboptimal, control laws with robustness to dynamic uncertainties, via on-line/off-line learning. The system studied in this paper is an interconnection of a linear model with fully measurable state and unknown dynamics, and a nonlinear system with unmeasured...
This paper is concerned with the design problem of robust fault-tolerant controller of linear uncertain satellite attitude control systems. The design method of output feedback robust fault-tolerant controller with failures of actuators and sensors is proposed to meet the given control performance by using LMI method. A numerical example of satellite attitude fault-tolerant control system is given...
In this paper, we study the global robust output regulation for a class of weakly minimum phase nonlinear systems. By employing the internal model design technique, we first convert the problem into a global robust stabilization problem of an augmented system whose structure has not been encountered before. Then we develop a methodology to solve this stabilization problem via state feedback, by utilizing...
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