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We address the problem of finite-horizon optimal control of uncertain discrete-time SISO linear systems with input constraints. The uncertainty for the problem analyzed is related to incomplete state information (output feedback) and stochastic disturbances. We analyze the optimal solutions for short optimization horizons when the disturbances and the initial state are Gaussian random vectors. We...
Networked control has emerged in recent years as a new and exciting area in systems science. The topic has many potential applications in diverse areas ranging from control of microrobots to biological and economic systems. The supporting theory is very rich and combines aspects of control, signal processing, telecommunications and information theory. In this paper, we will give a brief overview of...
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