Incomplete Feedback Design in Model-Following Systems
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The chapter extends the theory of risk-averse control of a linear-quadratic class of model-following control systems with incomplete state feedback. It is shown that performance information can improve control decisions with only available output measurements for system performance reliability. Many of the results entail measures of the amount, value, and cost of performance information, and the design of model-following control strategy with risk aversion. This thematic view of correct-by-designs of high performance and reliable systems is a double-edged sword. By using all the mathematical statistics associated with performance appraisal to treat performance reliability it provides a unique and unifying perspective of decision making with risk consequences. On the other hand, it complicates information structures of the resulting control solutions.
KeywordsFeedback Gain Performance Information Admissible Feedback Maclaurin Series Expansion Feedforward Gain
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