£123.74

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£124 today · previous high £124 · all-time low £108

Springer Hybrid L1 Adaptive Control - Fuzzy Modeling & Optimization

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£123.74 £106.44 £110.21 £113.99 £117.76 £121.54 £125.31 27 July 2026 12 August 2026 28 August 2026 13 September 2026 30 September 2026
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Description

Hybrid L1 Adaptive Control explores advanced control methodologies combining fuzzy modeling, stochastic optimization, and metaheuristic techniques. Part of Springer's Studies in Systems, Decision and Control series (volume 422), this comprehensive text addresses the integration of adaptive control systems with intelligent computational approaches. The book examines practical applications where hybrid control strategies improve system performance under uncertainty and complexity. Ideal for researchers, engineers, and graduate students working in control systems, artificial intelligence, and optimization, this publication bridges theoretical foundations with real-world implementation challenges in adaptive systems design.

Key Features

Covers hybrid L1 adaptive control frameworks combining multiple advanced methodologies for robust system performance.

Explores fuzzy modeling techniques for handling uncertainty in complex control applications and decision-making systems.

Addresses stochastic optimization methods for designing adaptive controllers under variable operating conditions.

Incorporates metaheuristic approaches to solve non-convex optimization problems in advanced control systems.

Published by Springer in the Studies in Systems, Decision and Control series as volume 422.

Provides theoretical foundation and practical applications for graduate-level study and professional research.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
03 March 2023
Listed Since
05 February 2023

Barcode

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