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Journal ArticleDOI

Advances in automation and control research in China

Daizhan Cheng
- 17 Nov 2009 - 
- Vol. 52, Iss: 11, pp 1954-1963
TLDR
The development and progress that have been made in all these aspects in China, including control theory, automation, agriculture, defense, and other social sectors are reviewed.
Abstract
Automation is the utilization of control techniques together with other information technology to control industrial processes, reducing the need for human intervention. It plays a highly important role in social and economy as well as in daily life. Control theory is the theory of automation, and is an interdisciplinary branch of engineering and mathematics, examining the behavior of dynamical systems. China has a long history of manufacturing automatic devices. In recent years, some rapid progresses in control theory have been made in China. Many new theories and new methodologies have been developed to meet the increasing demands in industry, agriculture, defense, and other social sectors. Contemporary sciences such as complexity, systems biology, quantum technologies, have also found their close links to control theories and technologies. On the other hand, control theory itself has many unsolved fundamental problems requiring further studies and investigation. This paper is to review the development and progress that have been made in all these aspects in China. Some remarks on the future development of control theory are also presented.

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Citations
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CORRESPONDENCE - Takagi-Sugeno Fuzzy-Model-Based Fault Detection for Networked Control Systems with Markov Delays

Y Zheng, +2 more
TL;DR: In this article, a Takagi-Sugeno (T-S) model is employed to represent a networked control system (NCS) with different network-induced delays and a parity-equation approach and a fuzzy-observer-based approach for fault detection of an NCS were developed.
Journal ArticleDOI

Hybrid MDP based integrated hierarchical Q-learning

TL;DR: An integrated hierarchical Q-learning framework is proposed based on the hybrid Markov decision process (MDP) using temporal abstraction instead of the simple MDP to be an effective integral learning and control scheme for complex problems.
Journal ArticleDOI

Control problems in quantum systems

TL;DR: In this paper, the authors review basic quantum control theory from the perspective of modeling, analysis and design, as well as consider future research directions, and present a review of the current state of the art in quantum control.
Proceedings ArticleDOI

A limit to the capability of feedback

Yanxia Zhang, +1 more
TL;DR: In this article, the capability of feedback in dealing with both internal and external uncertainties for a class of pth-order nonlinear autoregressive control systems was studied and the size of the uncertainty was described by the Lipschitz constant of the uncertain nonlinear function under consideration.
Journal ArticleDOI

Closed-loop subspace identification algorithm based on correlation function estimates

TL;DR: A novel subspace identification method based on correlation function which estimates a state-space system dynamics of unknown plant operating in closed-loop experimental condition and the results show the effectiveness of the method in the presence of colored noise and low signal-to-noise ratios.
References
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