Advanced Stochastic Control Systems with Engineering Applications
1School of Astronautics, Harbin Institute of Technology, Harbin, Heilongjiang, China
2School of Electrical and Electronic Engineering, The University of Adelaide, SA 5005, Australia
3Faculty of Technology and Science, University of Agder, Grimstad, Norway
4Institute of Automation and Complex Systems, University of Duisburg-Essen, Duisburg, Germany
Advanced Stochastic Control Systems with Engineering Applications
Description
Stochastic phenomenon has played an important role in various branches of science such as biology, economics, and aircraft. Stochastic modeling approach has achieved a great number of distinguished contributions for a wide spectrum of systems including Markovian jumping systems, Itô stochastic systems, networked control systems with random communication delays, and\or packet losses. Over the past few decades, considerable attention has been paid to modeling, stability analysis, stabilization, robust filtering, model reduction, and practical applications of stochastic dynamical systems. In spite of the extensive and systemic development of stochastic approaches and techniques, there still remain various types of open problems desired to be further strengthened, which include modeling, filtering, nonparametric methods, system realization, and identification. Meanwhile, novel and updated developed theories and results are required to be investigated for application of stochastic systems in practical engineering.
The overall objective of this special issue is to bring together the latest results and advances in investigation of complicated stochastic systems including artificial intelligence, statistics, neural networks, multiagents, and heuristic search methods. The solicited papers in this special issue should be focused on modeling, analysis, control, and filtering problems of stochastic systems with application in modern industrial process, such as networked control systems, intelligent manufacturing systems, and biological systems. Potential topics include, but are not limited to:
- Stochastic switching systems
- Markovian jumping systems
- Itô stochastic systems
- Stochastic fuzzy control and filtering
- Stochastic neural networks
- Networked control systems
- Stochastic signal processing
- Design, construction, and control of gene regulatory circuits
Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/aaa/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/aaa/stoc/ according to the following timetable: