"Adaptive Control Theory and Applications" ed. by Petros Ioannou

This volume is dedicated to adaptive control - a modern approach to controlling systems with large parametric uncertainties, enabling performance to reach new heights. The book showcases the latest advances in the theory and application of adaptive control, contributed by leading researchers in the field.

By compensating for unexpected parametric uncertainties, whether due to equipment failure or wear and tear, it not only enhances system reliability but also extends equipment lifespan, thereby reducing costs.
Alongside theoretical insights, it presents practical examples of adaptive control applications, offering a comprehensive understanding of its advantages across a diverse range of control systems.

Contents
1. Robust and Adaptive Control
2. On Advances in Noise Modeling in Stochastic Systems, Control and Adaptive Control
3. Information Recovery in Composite Model Reference Adaptive Control
4. Robust Hybrid Model Reference Adaptive Control and Output-Feedback Linearization with Applications to Quadcopter UAVs
5. Decentralized Robust Direct MRAC for the Attitude of a Quadrotor UAV
6. Intelligent Adaptive Flight Control Augmentation of a Dynamic Inversion Autopilot
7. Practical Approaches to the Control of Milk Fermentation with Kefir Grains
8. Enhancing Resilience in Cooperative Systems against Cyber-Attacks: A Defense Framework through Adaptive Network Reconfiguration and Digital Twin
9. Innovative Adaptive Imaged Based Visual Servoing Control of 6 DoFs Industrial Robot Manipulators


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