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Application of Two-Stage Adaptive Decision Making System Based on Takagi-Sugeno Model for Scenario Selection in Rehabilitation Process

Application of Two-Stage Adaptive Decision Making System Based on Takagi-Sugeno Model for Scenario Selection in Rehabilitation Process

Krzysztof Brzostowski, Jaroslaw Drapala, Jerzy Swiatek
ISBN13: 9781616928117|ISBN10: 1616928115|EISBN13: 9781616928131
DOI: 10.4018/978-1-61692-811-7.ch003
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MLA

Brzostowski, Krzysztof, et al. "Application of Two-Stage Adaptive Decision Making System Based on Takagi-Sugeno Model for Scenario Selection in Rehabilitation Process." Knowledge-Based Intelligent System Advancements: Systemic and Cybernetic Approaches, edited by Jerzy Jozefczyk and Donat Orski, IGI Global, 2011, pp. 47-66. https://doi.org/10.4018/978-1-61692-811-7.ch003

APA

Brzostowski, K., Drapala, J., & Swiatek, J. (2011). Application of Two-Stage Adaptive Decision Making System Based on Takagi-Sugeno Model for Scenario Selection in Rehabilitation Process. In J. Jozefczyk & D. Orski (Eds.), Knowledge-Based Intelligent System Advancements: Systemic and Cybernetic Approaches (pp. 47-66). IGI Global. https://doi.org/10.4018/978-1-61692-811-7.ch003

Chicago

Brzostowski, Krzysztof, Jaroslaw Drapala, and Jerzy Swiatek. "Application of Two-Stage Adaptive Decision Making System Based on Takagi-Sugeno Model for Scenario Selection in Rehabilitation Process." In Knowledge-Based Intelligent System Advancements: Systemic and Cybernetic Approaches, edited by Jerzy Jozefczyk and Donat Orski, 47-66. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61692-811-7.ch003

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Abstract

This chapter focuses on selected problems of complex systems identification. The first part of the chapter is devoted to identification problems in general. The tasks of determination of the plant parameters and choice of the best model are given. Then, authors describe problems of complex systems, i.e.: identification with use of limited measurements, global identification and two-stage identification. The last one is presented in details. In order to illustrate proposed methods, an adaptive system with two-stage identification and its application to biomedical problem is presented.

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