Read e-book online Adaptive Control Design and Analysis PDF

By Gang Tao

ISBN-10: 0471274526

ISBN-13: 9780471274520

Perceiving a necessity for a scientific and unified knowing of adaptive keep watch over concept, electric engineer Tao provides and analyzes universal layout techniques with the purpose of masking the basics and cutting-edge of the sphere. Chapters disguise platforms conception, adaptive parameter estimation, adaptive country suggestions keep watch over, continuous-time version reference adaptive keep an eye on, discrete-time version reference adaptive regulate, oblique adaptive regulate, multivariable adaptive keep watch over, and adaptive keep an eye on of structures with nonlinearities.

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R denotes the correlation coefficient between the fuzzy model output and the original system output, which can be calculated as follows: L I L L^ViVi R- L -"^Vi^Vi i=l i=l i=l \ i=i \i=i where L is the number of arrays, yi (i = 1,. . , L) is the fuzzy model output value at each sampling instant, and yi {i = 1 , . . , L) is the measured data at each sampling instant. Chapter 2. 1. 2. 22i^2(A: - 4). 9722. 2u2{k - 3) - 0,15u2{k - 4). 9726. 3. 4. 196u2{k - 4). 9731. 194^2(A: - 4). 9739. 7701. 5.

PER(i) - The number of rules exceeds a predetermined number. If the number of input variables is rather large, the number of possible premise structures at each step becomes combinatorially large. Then, the required computer capacity and time for implementing the proposed algorithms are significantly increased. Therefore, it is necessary to search heuristically for the optimum premise structure. If a model in Step 2 has a larger PER than PER(2), its premise variable will no longer be allowed to appear in the premises in the steps after Step 2 but still can appear in the consequences.

341-356, 1982. [7] Z. Pawlak, Rough Sets-Theoretical Aspects of Reasoning about Data, Boston, MA, USA: Kluwer Academic Publishers, 1991. [8] Z. Pawlak, "Rough set theory and its applications to data analysis," Cybernetics and Systems, vol. 29, no. 7, pp. -Nov. 1998. [9] L. Polkowski and A. , Rough Sets in Knowledge Discovery: Applications, Case Studies and Software Systems, New York: Springer-Verlag, 1998. [10] R. , Intelligent Decision Support: Handbook ofApplications and Advances of the Rough Set Theory, Norwell, MA: Kluwer Academic Publishers, 1992.

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Adaptive Control Design and Analysis by Gang Tao

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