https://shop.theiet.org:443/author/gerasimos-rigatos-masoud-abbaszadeh-pierluigi-sianoGerasimos Rigatos, Masoud Abbaszadeh, Pierluigi Sianohttps://shop.theiet.org:443/nonlinear-optimal-and-flatness-based-control-methods-and-applications-for-complex-dynamical-systems<p xmlns="http://ns.editeur.org/onix/3.0/reference">Robotics, mechatronics and autonomous systems can exhibit complex nonlinear dynamics which can lead to unsatisfactory transients and deviation from setpoints or even to instability. A standard approach in the control of these systems had been the concept of diffeomorphisms to bring a system into a linear form. However, these methods are not straightforward and result in complicated state-space model transformations. In this monograph, new methods have been investigated which are not constrained by the shortcomings of global linearization-based control schemes. They can be implemented in a computationally simple manner, are followed by global stability proofs, and perform better than previous optimal control approaches for a wider class of nonlinear dynamical systems and applications.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference">In this monograph, the authors present two main proven control methods: the nonlinear optimal (H-infinity) control method, and the flatness-based control approach. These methods have shown to be better suited than previous standard approaches in solving control issues, and can be used in a wide class of dynamical systems. They can have a broad range of applications in mechatronics, industrial robotics, space robotics, robotic cranes and pendulums, autonomous vehicles, aerospace systems and satellites, power electronics, biosystems and financial systems.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference">This very comprehensive monograph is a valuable resource for academic researchers and engineers working on control systems and estimation methods, and university staff and graduate students in the fields of control and automation, robotics and mechatronics, electrical engineering, electric power systems and power electronics, biosystems, computer science, financial systems, and physics. The monograph is also a very useful reference for skilled technical professionals developing real world applications.</p>Tue, 21 Jan 2025 10:11:06 GMThttps://shop.theiet.org:443/nonlinear-optimal-and-flatness-based-control-methods-and-applications-for-complex-dynamical-systemshttps://shop.theiet.org:443/control-and-estimation-of-dynamical-nonlinear-and-partial-differential-equation-systems<p xmlns="http://ns.editeur.org/onix/3.0/reference">Robotic and mechatronic systems, autonomous vehicles, electric power systems and smart grids, as well as manufacturing and industrial production systems can exhibit complex nonlinear dynamics or spatio-temporal dynamics which need to be controlled to ensure good functioning and performance.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference">In this comprehensive reference, the authors present new and innovative control and estimation methods and techniques based on dynamical nonlinear and partial differential equation systems. Such results can be classified in five main domains for the control of complex nonlinear dynamical systems using respectively methods of approximate (local) linearization, methods of exact (global) linearization, Lyapunov stability approaches, control and estimation of distributed parameter systems and stochastic estimation and fault diagnosis methods.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference"><i>Control and Estimation of Dynamical Nonlinear and Partial Differential Equation Systems: Theory and applications</i> will be of interest to electrical engineering, physics, computer science, robotics and mechatronics researchers and professionals working on control problems, condition monitoring, estimation and fault diagnosis and isolation problems. It will also be useful to skilled technical personnel working on applications in robotics, energy conversion, transportation and manufacturing.</p>Fri, 21 Jan 2022 10:24:35 GMThttps://shop.theiet.org:443/control-and-estimation-of-dynamical-nonlinear-and-partial-differential-equation-systems