Titlebook: Super-Flexibility for Knowledge Enterprises; A Toolkit for Dynami Homa Bahrami,Stuart Evans Book 20051st edition Springer-Verlag Berlin Hei

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t of the time we are not even aware of the presence of the devices responsible for this automatic operation, and this is how it should be. However, the effects of a malfunction in these devices are very evident and could be catastrophic. Appropriate monitoring and control equipment are found in powe

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Gaussian (LQG) method; e.g., see [3, 46]. In particular, the use of a quadratic cost function is well motivated in many control problems. Also, the stochastic white noise model is often a good approximation to the noise found in practical control problems. These facts, together with the fact that th

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lems, we have been motivated to consider the problem of obtaining a robust version of the LQG control technique. These results were presented in Section 8.5; see also [206,49, 134, 72, 146, 152, 230, 231]. In particular, the results of Section 8.5 generalize the LQG problem to a robust LQG problem f