Entropy and Stochastic Distribution Optimization for Large-Scale Dynamical Systems II
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".
Deadline for manuscript submissions: closed (25 January 2024) | Viewed by 191
Special Issue Editors
Interests: stochastic systems; control systems; non-gaussian systems; entropy optimisation; stochastic distribution control; probabilistic decoupling; performance enhancement; non-gaussian filtering; data-driven design and optimisation; computational neuroscience; brain-computer interface
Special Issues, Collections and Topics in MDPI journals
Interests: energy conversion and control; artificial intelligence and machine learning; modelling and control of complex industrial processes; networked control systems; fault diagnosis and fault-tolerant control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the development of artificial intelligence and Internet of Things technologies, the engineering system has become increasingly complex with strong nonlinear dynamics. Since the uncertainness and randomness of the complex systems affect the prediction of traditional model-based designs, the optimization problem has been defined using entropy and stochastic distribution. Based on the recent literature, it has been shown that entropy and stochastic distribution can be considered a design tool for large-scale engineering systems in terms of performance enhancement. Therefore, this Special Issue focuses on this topic to investigate fundamental and applicable results in order to attenuate systemic randomness.
Motivated by this fundamental research topic, the potential applications can be extended using entropy and stochastic distribution, such as the industrial process, transportation system, energy system, manufacturing, networked system, etc. Based on these new developments, more practical applications will generate an impact on knowledge transfer.
Topics of interest for this Special Issue include, but are not limited to, the following research areas:
- Machine-learning-based system design, fault diagnosis, tolerant control;
- Data-driven filtering and monitoring for stochastic dynamic systems;
- Stochastic distribution generation via dynamical data sets;
- Entropy optimization and modeling for performance enhancement;
- Nonlinear system control with randomness attenuation;
- Entropy-based image, signal processing and classification;
- Decision making, management, and planning for stochastic systems;
- Mathematical extensions for entropy analysis.
Dr. Qichun Zhang
Prof. Dr. Jianhua Zhang
Guest Editors
Manuscript Submission Information
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Keywords
- entropy dynamic optimization
- stochastic distribution optimization
- minimum entropy filtering
- data-driven entropy modeling and control
- randomness attenuation for complex dynamic systems
