Nonlinear and Constrained Control

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.