Nonlinear and Constrained Control
Applications, Synergies, Challenges and Opportunities
Sorozatcím: Lecture Notes in Control and Information Sciences; 496;
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A termék adatai:
- Kiadó Springer
- Megjelenés dátuma 2025. június 20.
- Kötetek száma 1 pieces, Book
- ISBN 9783031826801
- Kötéstípus Keménykötés
- Terjedelem475 oldal
- Méret 235x155 mm
- Nyelv angol
- Illusztrációk 11 Illustrations, black & white; 140 Illustrations, color 700
Kategóriák
Rövid leírás:
This book focuses on recent advances in and applications of constrained and nonlinear control. The first part concentrates on theoretical aspects, highlighting synergies between constrained and nonlinear control and explaining challenges and opportunities. The second part examines practical applications. This collection originated from a workshop at the Royal Academy of Belgium.
The volume features contributions from authors based in both academia and industry. Each chapter provides an introduction to a specific research area, reports new findings, and comments on challenges and future research opportunities. The book serves as an entry point for readers interested in recent developments in constrained and nonlinear control.
TöbbHosszú leírás:
This book focuses on recent advances in and applications of constrained and nonlinear control. The first part concentrates on theoretical aspects, highlighting synergies between constrained and nonlinear control and explaining challenges and opportunities. The second part examines practical applications. This collection originated from a workshop at the Royal Academy of Belgium.
The volume features contributions from authors based in both academia and industry. Each chapter provides an introduction to a specific research area, reports new findings, and comments on challenges and future research opportunities. The book serves as an entry point for readers interested in recent developments in constrained and nonlinear control.
TöbbTartalomjegyzék:
An Introduction to this Volume: Challenges, Opportunities and Applications in Non-linear and Constrained Control.- Part I: Advanced Methodologies for Constrained Nonlinear Control.- Linear Embeddings of Switched Systems and Nonconvex Constraints: Opportunities for MPC.- Convex Lifting in Control. Applications on Constrained Control Design, Fragility Analysis and Path Planning.- Suboptimal Shrinking Horizon and Supervised Receding Horizon Model Predictive Control.- Explicit Reference Governor: Past, Present, and Future.- Recent Advancements on MPC for Tracking: Periodic and Harmonic Formulations.- Deep Subspace Prediction Networks for Nonlinear Data-Driven Predictive Control.- Integrating Learning-Based and MPC-Based Control for PWA Systems: Challenges and Opportunities.- Distributionally Robust and Risk-Averse MPC: Practical Issues and Application to Robotics.- Probabilistic Safety Analysis for Model Predictive Control, with a Case Study on Aircraft Upset Recovery.- An Interval Predictor-Based Robust Control for a Class of Constrained Nonlinear Systems.- Delay Compensation Using Predictive and Periodic Feedback.- Part II: Applications of Constrained Nonlinear Control.- Planar Prescribed-Time Control of a Spacecraft in the Presence of Constraints and Propellant Sloshing.- Robust Tube-Based Nonlinear Model Predictive Control of Multirotor Aircraft Using a Polynomial Zonotopic Framework.- Constrained Control of Manipulators and Aerial Robots with Explicit Reference Governors.- Parameterized Maneuver Governor for Decision Making for Automated Driving.- Accelerating the Solution of Nonlinear Model Predictive Control for Robotic Systems by Reducing the Function Evaluation Complexity.- A Unifying Algorithmic Perspective on Constrained Dynamics and Optimal Control Applied to Whole-Body Quadruped Trajectory Optimization.- The Future of Parabolic Trough Thermosolar Plants: Classic Control and Beyond.- Nonlinear and Constrained Control of Packed-Bed Energy Storage.- Systemsand Control Approaches for the Coevolution of Epidemics and Behavioral Response: Modeling, Identification, and Empirical Validation on a COVID-19 Case Study.
