Mathematical Problems in Engineering

Stochastic Systems and Control: Theory and Applications


Publishing date
25 Aug 2017
Status
Published
Submission deadline
07 Apr 2017

Lead Editor

1Shandong University of Science and Technology, Qingdao, China

2Curtin University, Perth, Australia

3Carleton University, Ottawa, Canada

4North China Electric Power University, Beijing, China


Stochastic Systems and Control: Theory and Applications

Description

Stochastic control is without doubt a very popular research field in modern control theory, which presents valid tools for dealing with randomness. Compared with deterministic systems, stochastic control has more applications in practice, and the related problems of stochastic control are more complex.

Although stochastic control theory and application have made great progress in recent years, there are still a lot of new and challenging problems existing in the areas of theory analysis and applications, which cover the fields of mean-field control, leader-follower game, forward-backward stochastic control, stochastic nonlinear robust H infinity control and filtering, stability and stabilization, and so on. These problems merit further study by using more advanced theories and tools. To reflect the most recent advances in these fields, we are determined to organize this special issue.

This special issue will focus on stochastic control systems governed by Ito type stochastic differential equations, discrete-time stochastic difference equations, Markov jump systems together with their applications to control, filtering, communication, manufacturing, fault detection, and systems biology.

Potential topics include but are not limited to the following:

  • Stochastic modeling, stability, and stabilization
  • System analysis and synthesis
  • Stochastic robust/optimal/near-optimal/adaptive control
  • Filtering and estimation
  • Stochastic time-delay systems
  • Stochastic differential game
  • Small-gain approach to control of stochastic nonlinear systems
  • Applications of stochastic control theory to finance, economics, insurance, real estate, manufacturing systems, fault detection, networked control systems, power systems, and so on

Articles

  • Special Issue
  • - Volume 2017
  • - Article ID 4063015
  • - Editorial

Stochastic Systems and Control: Theory and Applications

Weihai Zhang | Honglei Xu | ... | Zhongwei Lin
  • Special Issue
  • - Volume 2017
  • - Article ID 6517453
  • - Research Article

A Stochastic Programming Approach for Resilient Hub Location in Power Projection Network considering Random Hub Failures

Xu-Tao Zhang | Hai-Ling Bi | Yun Wang
  • Special Issue
  • - Volume 2017
  • - Article ID 2379418
  • - Research Article

Analysis of Insulating Material of XLPE Cables considering Innovative Patterns of Partial Discharges

Fernando Figueroa Godoy | Jacinto Torres Jimenez | ... | José Ángel Colin
  • Special Issue
  • - Volume 2017
  • - Article ID 6271341
  • - Research Article

Neural Adaptive Decentralized Coordinated Control with Fault-Tolerant Capability for DFIGs under Stochastic Disturbances

Xiao-ming Li | Xiu-yu Zhang | ... | Jian-guo Wang
  • Special Issue
  • - Volume 2017
  • - Article ID 7680698
  • - Research Article

Failure Diagnosis for Distributed Stochastic Discrete Event Systems

Xuena Geng | Dantong Ouyang | Xiangfu Zhao
  • Special Issue
  • - Volume 2017
  • - Article ID 2541687
  • - Research Article

Linear Quadratic Stochastic Optimal Control of Forward Backward Stochastic Control System Associated with Lévy Process

Hong Huang | Xiangrong Wang | ... | Lu Xu
  • Special Issue
  • - Volume 2017
  • - Article ID 5217027
  • - Research Article

Threshold Dynamics of a Stochastic Chemostat Model with Two Nutrients and One Microorganism

Jian Zhang | Anqi Miao | Tongqian Zhang
  • Special Issue
  • - Volume 2017
  • - Article ID 6194598
  • - Research Article

Stabilization of Stochastic Markovian Jump Systems with Partially Unknown Transition Probabilities and Multiplicative Noise

Yong Zhao | You Fu
  • Special Issue
  • - Volume 2017
  • - Article ID 6942865
  • - Research Article

On the Degrees of Freedom of Mixed Matrix Regression

Pan Shang | Lingchen Kong
  • Special Issue
  • - Volume 2017
  • - Article ID 7864375
  • - Research Article

Neural Networks Approximator Based Robust Adaptive Controller Design of Hypersonic Flight Vehicles Systems Coupled with Stochastic Disturbance and Dynamic Uncertainties

Guoqiang Zhu | Lingfang Sun | Xiuyu Zhang
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate28%
Submission to final decision78 days
Acceptance to publication41 days
CiteScore1.130
Impact Factor1.179
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