Entropy in Control Engineering (Series in Intelligent by George N. Saridis PDF

By George N. Saridis

ISBN-10: 9810245513

ISBN-13: 9789810245511

Keep an eye on engineering with smooth improvement in technology through the concept that of entropy. keep watch over task is defined in accordance with the rules that keep an eye on is creating a approach do what we need it to do, touching on keep watch over concept with the sciences.

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Extra info for Entropy in Control Engineering (Series in Intelligent Control and Intelligent Automation) (v. 12)

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1986), Stochastic Systems: Estimation. Identification, and Adaptive Control, Prentice Hall Inc. Englewood Cliffs, NJ. ,(1991), "Reliability Based Control and Sensing Design for Intelligent Machines", in Reliability Analysis ed. H. Y. Morse, A. , (1990), "Towards a Unified Theory of Parameter Adaptive Control: Tunability", IEEE Trans, on Automatic Control, Vol. 35, No. 9, pp. 1002-1012, September. , (1992), "Towards a Unified Theory of Parameter Adaptive Control-Part II: Certainty Equivalence and Implicit Tuning", IEEE Trans, on Automatic Control, Vol.

1968), "On the Separation Theorem of Stochastic Control" SIAM Journal on Control. , (1992), Intelligent Robotic System Theory: Design and Applications. Kluwer Academic Publishers, Boston, MA. ENTROPY IN CONTROL ENGINEERING 45 CHAPTER 3. 1. INTRODUCTION One of the main applications of the entropy formulation of optimal control is the theory of Intelligent machines, which comprises of the combination of various seemingly disjoint disciplines like task planning, decision making, vision and control.

This result misled people to generalize the concept for nonneutral cases and claim the Certainty Equivalence Principle as optimal. Optimal estimation is necessary since the states are not readily available for feedback. The problem of non-neutral stochastic nonlinear control, which includes the case of Adaptive control, named by Feld'baum as Dual, and which is the truly optimal solution, is now recast using entropy as the cost of the operation. Consider the worst case differential entropy of the optimal control H(u").

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Entropy in Control Engineering (Series in Intelligent Control and Intelligent Automation) (v. 12) by George N. Saridis


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