Control and estimation of dynamical nonlinear and partial differential equation systems : theory and applications

• Record Nr.: UNINA9911006786203321
• Autore: Rigatos Gerasimos
• Pubbl/distr/stampa: Stevenage : , : Institution of Engineering & Technology, , 2022; ©2022
• ISBN: 1-83724-467-7; 1-5231-4668-0; 1-83953-427-3
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (992 pages)
• Collana: Control, Robotics and Sensors
• Altri autori (Persone): AbbaszadehMasoud; SianoPierluigi
• Disciplina: 629.8312
• Soggetti: Control theory - Mathematical models; Control theory
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Contents -- About the authors -- Preface -- Acknowledgement -- 1. Principles of non-linear control -- 1.1 Control based on approximate linearization -- 1.2 Global linearization-based control concepts -- 1.3 Global linearization-based control using differential flatness theory -- 1.4 Control of PDE dynamical systems -- 2. Control based on approximate linearization for robotic systems -- 2.1 Nonlinear control of the cart and double-pendulum overhead crane -- 2.2 Nonlinear control of the underactuated offshore crane -- 2.3 Nonlinear control of the inertia wheel and pendulum system -- 2.4 Nonlinear control of the torsional oscillator with rotational actuator -- 2.5 Nonlinear control of robotic exoskeletons -- 2.6 Nonlinear control of brachiation robots -- 2.7 Nonlinear control of power line inspection robots -- 2.8 Nonlinear control of robots with electrohydraulic actuators -- 2.9 Nonlinear control of robots with electropneumatic actuators -- 2.10 Nonlinear control of flexible joint robots -- 2.11 Nonlinear control of redundant robotic manipulators -- 2.12 Nonlinear control of parallel closed-chain robotic manipulators -- 3. Control based on approximate linearization for autonomous vehicles -- 3.1 ; Nonlinear control of tracked autonomous vehicles -- 3.2 Nonlinear control of the autonomous articulated fire-truck -- 3.3 Nonlinear control of the truck and N-trailer system -- 3.4 Nonlinear control of the ball-bot autonomous robot -- 3.5 Nonlinear control of the ball-and-plate dynamical system -- 3.6 Nonlinear control of 3-DOF unmanned surface vessels -- 3.7 Nonlinear control of the 3-DOF autonomous underwater vessel -- 3.8 Nonlinear control of the vertical take-off and landing aircraft -- 3.9 Nonlinear control of aerial manipulators -- 3.10 Nonlinear control of the 6-DOF autonomous octocopter.; 3.11 Nonlinear control of hypersonic aerial vehicles -- 4. Control based on approximate linearization in energy conversion -- 4.1 Nonlinear control of the VSI-fed three-phase PMSM -- 4.2 Nonlinear control of VSI fed six-phase PMSMs -- 4.3 Nonlinear control of DC electric microgrids -- 4.4 Nonlinear control of distributed marine-turbine power generation units -- 4.5 Nonlinear control of PMLSGs in wave energy conversion systems -- 4.6 Nonlinear control of Permanent Magnet Brushless DC motors -- 4.7 Nonlinear optimal control of Hybrid ElectricVehicles powertrains -- 4.8 Nonlinear control of shipboard AC/DC microgrids -- 4.9 Nonlinear control of power generation in hybrid AC/DC microgrids -- 5. Control based on approximate linearization for mechatronic systems -- 5.1 Nonlinear control of electrohydraulic actuators -- 5.2 Nonlinear control of electropneumatic actuators -- 5.3 Nonlinear control of hot-steel rolling mills -- 5.4 Nonlinear control of paper mills -- 5.5 Nonlinear control of the injection moulding machine -- 5.6 Nonlinear control of the slosh-container system dynamics -- 5.7 Nonlinear control of micro-satellites' attitude dynamics -- 5.8 Nonlinear control of the industrial crystallization process -- 6. Control based on global linearisation for industrial and PDE systems -- 6.1 Control of a robotic exoskeleton subject to time-delays -- 6.2 Adaptive control of synchronous reluctance machines -- 6.3 Control of a mobile robotic manipulator -- 6.4 State of charge estimation in EVs with a KF-based disturbance observer -- 6.5 Control of nonlinear wave PDE dynamics -- 6.6 Control of data-flow PDE for bandwidth allocation in internet routes -- 6.7 Diffusion PDE control of data flow in communication networks -- 6.8 Control of the diffusion PDE in Li-ion batteries -- 6.9 Control of the diffusion PDE in financial assets' management.; 6.10 Estimation of PDE dynamics of the highway traffic -- 6.11 Estimation of the PDE dynamics of a cable-suspended bridge -- Epilogue -- Glossary -- References -- Index.
• Sommario/riassunto: In this comprehensive reference, the authors present new and innovative control and estimation methods based on dynamical nonlinear and partial differential equation systems, which are used in solving control problems such as stability and robustness issues in robotics, mechatronics, and other engineering applications.