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Springer Direct Adaptive Control Algorithms: Theory and Applications

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Description

This comprehensive guide from Springer presents readily implementable adaptive control algorithms developed and refined over fifteen years of practical engineering application. Designed for both practising engineers and graduate students, the book serves as either a professional reference or complete course text on adaptive control systems. The algorithms eliminate the need for explicit process parameter identification, making them accessible and efficient across diverse engineering domains. Successfully applied to flexible structure control, blood pressure control, and robotics applications, these methods address multiple input-output control challenges. The self-contained format enables readers to understand theory and implementation simultaneously, with proven results across varying engineering problems and real-world scenarios.

Key Features

Adaptive control algorithms developed and applied by the authors for over fifteen years in diverse engineering fields.

Self-contained compendium suitable as a graduate course text or professional reference for control systems engineers.

Algorithms do not require explicit process parameter identification, simplifying implementation and reducing computational overhead.

Successfully applied to flexible structure control, blood pressure control, and robotics applications across multiple domains.

Addresses multiple input-output control problems with readily implementable methods for practising engineers and students.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
25 November 1997
Listed Since
16 February 2007

Barcode

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