Intelligent Control of Dynamical Processes and Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 601
Special Issue Editors
Interests: intelligent control; robotics; image processing; computer vision; control theory; mechatronics; automation and robotics; automation; control and instrumentation
Interests: automatic control; artificial neural networks; intelligence systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Due to the difficulties associated with attempting to control complex processes, higher-order plants and multi-body dynamics with highly nonlinear interconnections, the decentralized control approach may be a good choice in the proposal and design of fault detection and control schemes for these classes of dynamical processes and systems. The decentralized control approach has proven to be a suitable option for some dynamic systems whose mathematical/parametric model is viewed as symmetrical with respect to a coordinate axis or to more than one plane of motion. The decentralized control approach also offers the degree of freedom of to propose a different controller for each of the subsystems that constitute the whole system. It is essential to establish the assumptions related to the dynamical interconnections between such subsystems.
The aim of this Special Issue is to present recent applications and advances pertaining to the decentralized control approach of complex dynamical processes and systems. Potential topics include (but are not limited to) modeling, identification, tracking control, decentralized control, adaptive control, artificial neural network control, fuzzy control, nonlinear control, optimization, reinforcement learning, biological processes, chemical processes, wastewater treatment, renewable energy processes, mobile robots, unmanned aerial vehicles, robotic manipulators, soft robotics, applications and experiments.
Best regards,
Dr. Francisco Jurado
Prof. Dr. Alma Y. Alanis
Guest Editors
Manuscript Submission Information
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Keywords
- modeling
- identification
- decentralized control
- nonlinear control
- intelligent control
- optimization
- reinforcement learning
- robotics
- biological processes
- industrial processes
- applications
