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Table of Contents
1. Introduction
2. Almost Feedback Linearization via Dynamic Extension: A Paradigm for Robust Semiglobal Stabilization
3. Neural, Hybrid Methods in Nonlinear System Identification
4. One the Role of Well-Posedness in Homotopy Methods for the Stability Analysis of Nonlinear Feedback Systems
5. Design of Multi-Agent System via Blended Dynamics Approach
6. Robust Adaptive Attenuation of Unknown Output Disturbances
7. Delay-Adaptive Observer-Based Control for Linear Systems with Unknown Input Delays
8. Adaptive Control for Systems with Time-Varying Parameters
9. Multi-Armed Bandits Revisited via Adaptive Control
10. Contributions to the Problem of High-Gain Observer Design for Systems of PDEs
11. Robust Reinforcement Learning for Optimal Stationary Control of Linear Systems with Additive and Multiplicative Noises.
2. Almost Feedback Linearization via Dynamic Extension: A Paradigm for Robust Semiglobal Stabilization
3. Neural, Hybrid Methods in Nonlinear System Identification
4. One the Role of Well-Posedness in Homotopy Methods for the Stability Analysis of Nonlinear Feedback Systems
5. Design of Multi-Agent System via Blended Dynamics Approach
6. Robust Adaptive Attenuation of Unknown Output Disturbances
7. Delay-Adaptive Observer-Based Control for Linear Systems with Unknown Input Delays
8. Adaptive Control for Systems with Time-Varying Parameters
9. Multi-Armed Bandits Revisited via Adaptive Control
10. Contributions to the Problem of High-Gain Observer Design for Systems of PDEs
11. Robust Reinforcement Learning for Optimal Stationary Control of Linear Systems with Additive and Multiplicative Noises.