Discrete Dynamics in Nature and Society

Intelligent Control in Discrete-Time for Autonomous Systems


Publishing date
13 May 2016
Status
Published
Submission deadline
25 Dec 2015

Lead Editor

1Plymouth University, Plymouth, UK

2Northwestern Polytechnical University, Xi’an, China

3Beijing Institute of Technology, Beijing, China

4Imperial College London, London, UK

5Bristol University, Bristol, UK


Intelligent Control in Discrete-Time for Autonomous Systems

Description

The application of automatic systems is playing an increasingly important role in our modern society. For example, millions of autonomous robots are impacting our daily life by working on assembly lines and construction sites and even in our homes. The soul of an autonomous system lies in its controller, which nowadays is typically implemented by computers in discrete-time: measurements are made and control actions are taken at discrete time instants, seconds, minutes, hours, or days apart. Conventionally, both mathematical models of physical systems and controllers are developed in continuous-time, and then digitalization is applied on controller.

It is now more popular to identify discrete-time models and use them to design discrete-time control, because the input output data under digital measurement is generally only available at discrete time instants. The control design in discrete-time is much more challenging than in continuous-time, due to the lack of counterpart mathematical tools. In addition, the next generation of autonomous systems is required to perform tasks with smart and flexible strategic decisions, for example, unmanned vehicles on the road, automatic cleaner at homes, multiple robots, or human-robot in collaboration. To meet these requirements, more intelligence must be brought into the control strategies, rather than conventional control design focusing on stability and robustness. Artificial intelligence technologies, especially the bioinspired technologies, should be investigated in the intelligent control design in discrete-time.

The main goal of this special issue is to address original research articles in autonomous discrete-time systems with intelligent controller. The main aim is to publish recent advances relevant to advanced control design for discrete-time systems and their implementation in autonomous systems such as service robots and unmanned vehicles, which are becoming more and more popular in industry and in our life. Particular problems need to be addressed to cope with the various uncertainties, to guarantee the safety, to improve the efficiency, and so on. In addition, this special issue also welcomes research articles on discrete dynamics modelling and investigation of biosystems, which could result in biomimetic algorithms that potentially enhance the intelligence of artificial autonomous system. Generally, we invite researchers to contribute their review and original research articles.

Potential topics include, but are not limited to:

  • Sliding mode based discrete-time control
  • Hybrid control of discrete-time systems
  • Control of sampled-data systems with uncertainties
  • Discrete-time filter and estimator and their applications
  • Decision making and control design in discrete-time
  • Discrete-time autopilot of marine vehicles and unmanned cars
  • Discrete-time control of smart robots
  • Human-robot interactions with discrete-time adaptation
  • Multiagent systems coordinated by discrete-time control
  • Discrete-time modeling and identification of biosystems
  • Biomimetic control of discrete-time systems

Articles

  • Special Issue
  • - Volume 2016
  • - Article ID 6219609
  • - Research Article

Guidance Law and Neural Control for Hypersonic Missile to Track Targets

Wenxing Fu | Binbin Yan | ... | Jie Yan
  • Special Issue
  • - Volume 2016
  • - Article ID 6023892
  • - Research Article

Multiple Model Adaptive Tracking Control Based on Adaptive Dynamic Programming

Kang Wang | Xiaoli Li | Yang Li
  • Special Issue
  • - Volume 2016
  • - Article ID 3460492
  • - Research Article

Organization Learning Oriented Approach with Application to Discrete Flight Control

Lin Yu | Shixing Wang | Yongan Zheng
  • Special Issue
  • - Volume 2016
  • - Article ID 4269725
  • - Research Article

Composite Adaptive Antidisturbance Control for Discrete-Time Switched System

Haibin Sun | Qiang Lu | Linlin Hou
  • Special Issue
  • - Volume 2016
  • - Article ID 9126056
  • - Research Article

An Augmented Discrete-Time Approach for Human-Robot Collaboration

Peidong Liang | Lianzheng Ge | ... | Ke Wang
  • Special Issue
  • - Volume 2016
  • - Article ID 7217364
  • - Review Article

A Review of Fuzzy Logic and Neural Network Based Intelligent Control Design for Discrete-Time Systems

Yiming Jiang | Chenguang Yang | Hongbin Ma
  • Special Issue
  • - Volume 2016
  • - Article ID 2402794
  • - Research Article

Discrete Sliding Mode Control for Hypersonic Cruise Missile

Yong Hua Fan | Peng Peng Yan | ... | Hong Yang Xu
  • Special Issue
  • - Volume 2015
  • - Article ID 476182
  • - Research Article

Spanning 3-Ended Trees in Almost Claw-Free Graphs

Xiaodong Chen | Meijin Xu | Yanjun Liu
  • Special Issue
  • - Volume 2015
  • - Article ID 576341
  • - Research Article

Consensus Information Filtering for Large-Scale Systems with Application to Heat Conduction Process

Liguo Zhang | Ying Lyu
  • Special Issue
  • - Volume 2015
  • - Article ID 716547
  • - Research Article

Velocity Control for Coning Motion Missile System Using Direct Discretization Method

Rui-sheng Sun | Chao Ming
Discrete Dynamics in Nature and Society
 Journal metrics
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Acceptance rate11%
Submission to final decision137 days
Acceptance to publication20 days
CiteScore2.000
Journal Citation Indicator0.410
Impact Factor1.4
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