Aims and Scope
The Journal of Control Science and Engineering seeks to provide an outlet for technical papers on advances in the field of control systems and control technology. It aims at speedy, online publication of original, peer-reviewed papers in all established and newly emerging areas of control theory and applications, encompassing modeling, identification, estimation, analysis, design, implementation of control systems, and in broader and related areas of signal processing and systems and information sciences. The journal employs a paperless, electronic submission and evaluation system to promote a rapid turnaround in the peer review process.
Subject areas include but are not limited to:
- Control analysis and design: adaptive control, cooperative control, decentralized control, digital control, fuzzy control, hybrid control, intelligent control, learning control, linear control, nonlinear control, optimal control, PID control, predictive control, process control, robust control, sampled-data control, stochastic control
- Systems theory: discrete event systems, distributed parameter systems, fuzzy neural systems, large scale systems, linear systems, multi-agent systems, multivariable systems, nonlinear systems, power systems
- Signal and data processing: estimation and filtering, fault detection, guidance and navigation, neural networks, system identification, target tracking
- Information and control: control of communication networks, control over communication networks
- Experimental research and applications
