Guest Editor(s)
-
- Dr. Gerasimos Rigatos
- Unit of Industrial Automation, Industrial Systems Institute, Rion Patras, Greece.
Website | E-mail
Special Issue Introduction
There are several domains where complex nonlinear dynamics and the associated nonlinear control and estimation problems are prevalent. These are, for instance, industrial robotics and mechatronics for industrial production, autonomous vehicles and transportation means, electric power generation systems, renewable energy systems and the smart grid, exploitation of energy resources, power electronics, or even financial systems and biosystems. The objective of this special issue is to present advances and new solutions to the problems of nonlinear control, nonlinear estimation, and fault diagnosis for the aforementioned complex dynamical systems. Topics of interest are listed below but are not limited to:
● Control and estimation with global linearization techniques (e.g., based on differential flatness theory or Lie algebra)
● Control and estimation with approximate linearization techniques (e.g., based on local linear models which are obtained through Taylor series expansion)
● Control and estimation based on Lyapunov stability theory (e.g., energy-based control, adaptive control, and adaptive identification techniques)
● Control based on other optimization concepts (e.g., sliding-mode control and nonlinear model predictive control)
● Nonlinear control addressed to systems under specific state-space forms (e.g., back-stepping control and control implemented in cascading loops)
● Other nonlinear estimation techniques (e.g., with novel types of nonlinear regressors or neural networks and with new nonlinear filters)
● Control, estimation, and fault diagnosis of Partial Differential Equation systems associated with wave or diffusion dynamics and with stochastic processes
Submission Deadline
21 Sep 2022
Complex Engineering Systems
