Advanced Control of Complex Dynamical Systems with Applications
1University of Kent, Canterbury, UK
2Northeastern University, Liaoning, China
3National Autonomous University of Mexico (UNAM), Mexico City, Mexico
Advanced Control of Complex Dynamical Systems with Applications
Description
There are many real systems which can be modelled by dynamical equations. With the increasing requirement for high levels of system performance, it is imperative to deal with more complex systems as dynamical systems used to model reality have become more and more complex. The complexity mainly lies in nonlinearity, uncertainty, time delay, system singularity, strong interconnection, stochastic process, and so forth. The advancement of both scientific technology and control theory has provided the possibility to investigate complex dynamical systems. Study on complex systems becomes increasingly important, which has provided renewed impetus for development of novel techniques and skills for complex control systems.
The purpose of this special issue is to provide an opportunity for scientists and control engineers to publish their latest, novel, and original contribution to the development of complex control systems. It is mainly focused on the recent achievements and applications in the field of control and analysis for complex systems with a special emphasis on how to solve various control design and/or observer design problems for nonlinear systems, interconnected systems, and singular systems. The considered system is expected to involve at least two of the features such as nonlinearity, disturbances/uncertainty, fault, time delay, interconnections between subsystems, system singularity, stochastic process, and comparison between simulation and experiments. The results in theoretical research and practical applications with emphasis on novel methodologies for analysis, design, synthesis, and/or applications are encouraged to be submitted.
Potential topics include, but are not limited to:
- Decentralized control
- Variable structure control
- Singular systems control
- Time delay systems
- Fuzzy control and impulsive control
- Robust observer design and parameters identification
- Fault detection and fault tolerant control
- Analysis and control of stochastic systems
- Applications of advanced control systems