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 6489715
  • - Editorial

Intelligent Control in Discrete Time for Autonomous Systems

Chenguang Yang | Bin Xu | ... | Jing Na
  • Special Issue
  • - Volume 2016
  • - Article ID 2437615
  • - Research Article

The Control Packet Collision Avoidance Algorithm for the Underwater Multichannel MAC Protocols via Time-Frequency Masking

Yang Yu | Jie Shi | ... | Peng Han
  • Special Issue
  • - Volume 2016
  • - Article ID 8517309
  • - Research Article

Dynamic Behaviors and Energy Transition Mechanism of Droplets Impacting on Hydrophobic Surfaces

Qiaogao Huang | Ya Zhang | Guang Pan
  • Special Issue
  • - Volume 2016
  • - Article ID 1652080
  • - Research Article

Research on the Low Frequency Broadband Piezoelectric-Magnetostrictive Hybrid Transducer

Duo Teng | Ning Zhu
  • Special Issue
  • - Volume 2016
  • - Article ID 6897030
  • - Research Article

A Discrete-Time Algorithm for Stiffness Extraction from sEMG and Its Application in Antidisturbance Teleoperation

Peidong Liang | Chenguang Yang | ... | Ruifeng Li
  • Special Issue
  • - Volume 2016
  • - Article ID 4859475
  • - Research Article

Application of Filter on the Angular Rate Matching in the Transfer Alignment

Lijun Song | Zhongxing Duan | Jiwu Sun
  • Special Issue
  • - Volume 2016
  • - Article ID 6269539
  • - Research Article

Research on the Heat Dissipation Characteristics of Lithium Battery Spatial Layout in an AUV

Zhaoyong Mao | Shaokun Yan
  • Special Issue
  • - Volume 2016
  • - Article ID 1437616
  • - Research Article

Discrete-Time Dynamical Maximum Power Tracking Control for a Vertical Axis Water Turbine with Retractable Blades

Zhaoyong Mao | Qian Liu | Rongxin Cui
  • Special Issue
  • - Volume 2016
  • - Article ID 7670609
  • - Research Article

The Nonsequential Fusion Method for Localization from Unscented Kalman Filter by Multistation Array Buoys

Gou Yanni | Wang Qi
  • Special Issue
  • - Volume 2016
  • - Article ID 2028414
  • - Research Article

Polar Metric-Weighted Norm-Based Scan Matching for Robot Pose Estimation

Guanglei Huo | Lijun Zhao | ... | Jianqiang Li
Discrete Dynamics in Nature and Society
 Journal metrics
Acceptance rate26%
Submission to final decision52 days
Acceptance to publication33 days
CiteScore1.600
Impact Factor0.870
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