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Taicheng Yang

Bio: Taicheng Yang is an academic researcher from University of Sussex. The author has contributed to research in topics: Control system & Control theory. The author has an hindex of 22, co-authored 75 publications receiving 1873 citations. Previous affiliations of Taicheng Yang include Shanghai University & Information Technology University.


Papers
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Journal ArticleDOI
TL;DR: This paper studies an event-triggered communication scheme and an H"~ control co-design method for networked control systems (NCSs) with communication delay and packet loss with a novel Lyapunov-Krasovskii functional.

547 citations

Journal ArticleDOI
TL;DR: In this article, a new control strategy that enables photovoltaic systems to adjust the active power outputs and provide frequency regulation to power systems is proposed. But the focus of this paper is to develop a new controller that enables PVs to adjust active power output to provide ancillary services.
Abstract: To maximize the revenue from selling energy, photovoltaic systems (PVs) in general operate in the so-called maximum power point tracking mode. However, the increasing penetration of renewable energy sources in power systems has motivated the design of innovative control to provide ancillary services. The focus of this paper is to develop a new control strategy that enables PVs to adjust the active power outputs and provide frequency regulation to power systems. In this strategy, two different modes are designed: 1) the frequency droop control mode for PVs to provide primary frequency support to power systems, and 2) the emergency control mode to prevent system frequency collapse and, therefore, to prevent too much generation tripping after fault. Based on a detailed PV dynamic model, simulation results show the effectiveness of the proposed control strategy in improving the frequency stability.

222 citations

Journal ArticleDOI
TL;DR: A robust networked control for a class of Takagi-Sugeno (T-S) fuzzy systems is investigated, which shows that the solvability of the design depends not only on the upper and lower bounds of the delay but on its probability distribution as well.
Abstract: This paper investigates a robust networked control for a class of Takagi-Sugeno (T-S) fuzzy systems. The controller design specifically takes probabilistic interval distribution of the communication delay into account. A general framework of networked control is first proposed. The two main features are 1) the zero-order hold can choose the latest control input signal when the packets received are out-of-order, and 2) as the result of 1), the models of the all kinds of uncertainties in networked signal transfer-including network-induced delay and data packet dropout-are under a unified framework. Next, if the probability distribution of communication delay is known or specified in a design process, sufficient stability conditions for networked T-S fuzzy systems are derived, which are based on the Lyapunov theory. Following this, a stabilizing controller design method is developed, which shows that the solvability of the design depends not only on the upper and lower bounds of the delay but on its probability distribution as well. Finally, a numerical example is used to show the application of the theoretical results obtained in this paper.

120 citations

Journal ArticleDOI
TL;DR: In this article, the design of decentralised robust load frequency control for interconnected multi-area power systems is studied, and it is shown that although the design can be naturally formulated as a large-scale system decentralised control problem, it can be translated into an equivalent problem of decentralized controller design for a multi-input multi-output (MIMO) control system.

98 citations

Journal ArticleDOI
TL;DR: A comprehensive model is first developed to cover features for a class of NCS nonlinear systems and the Lyapunov functional and the linear matrix inequality (LMI) are applied to develop two new stability conditions that are used to design a controller to achieve robust mean square stability of the system.
Abstract: The system studied in this paper has four main features: 1) It is a networked controlled system (NCS), and therefore, the signal transfer is subject to random delay and/or loss; 2) it is a nonlinear system approximated by a Takegi--Sugeno (T-S) fuzzy model; 3) its multisensors and multiactuators are subject to various possible faults/failures; and 4) there are uncertainties in the plant model parameters. A comprehensive model is first developed in this paper to cover these features for a class of NCS nonlinear systems. This model has removed some limitations of similar models in the published literature. Then, the Lyapunov functional and the linear matrix inequality (LMI) are applied to develop two new stability conditions (Theorems 1 and 2). These conditions and an algorithm are used to design a controller to achieve robust mean square stability of the system. Finally, two examples are used to demonstrate the application of the modeling and the controller design method developed.

95 citations


Cited by
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Journal ArticleDOI
01 Nov 2007
TL;DR: The iterative learning control (ILC) literature published between 1998 and 2004 is categorized and discussed, extending the earlier reviews presented by two of the authors.
Abstract: In this paper, the iterative learning control (ILC) literature published between 1998 and 2004 is categorized and discussed, extending the earlier reviews presented by two of the authors. The papers includes a general introduction to ILC and a technical description of the methodology. The selected results are reviewed, and the ILC literature is categorized into subcategories within the broader division of application-focused and theory-focused results.

1,417 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a critical literature review and an up-to-date and exhaustive bibliography on the AGC of power systems, highlighting various control aspects concerning the AGG problem.
Abstract: An attempt is made in This work to present critical literature review and an up-to-date and exhaustive bibliography on the AGC of power systems. Various control aspects concerning the AGC problem have been highlighted. AGC schemes based on parameters, such as linear and nonlinear power system models, classical and optimal control, and centralized, decentralized, and multilevel control, are discussed. AGC strategies based on digital, self-tuning control, adaptive, VSS systems, and intelligent/soft computing control have been included. Finally, the investigations on AGC systems incorporating BES/SMES, wind turbines, FACTS devices, and PV systems have also been discussed.

836 citations

Book ChapterDOI
Roy M. Howard1
01 Jan 2002
TL;DR: Chapter 8 establishes the relationship between the input and output power spectral densities of a linear system and the theory is extended to multiple input-multiple output systems.
Abstract: Chapter 8 establishes the relationship between the input and output power spectral densities of a linear system. Limitations on results are carefully detailed and the case of oscillator noise is considered. The theory is extended to multiple input-multiple output systems.

789 citations

Journal ArticleDOI
Tai C Yang1
10 Jul 2006
TL;DR: In this article, a survey on networked control systems (NCSs) is presented, and a simple framework and some general formulations for the study of NCSs are proposed.
Abstract: A survey on networked control systems (NCSs), published in a previous paper, is updated and extended. A simple framework and some general formulations for the study of NCSs are proposed. In addition to the survey on NCSs, the impact of NCSs on traditional large-scale system control methodologies with a related application is also reviewed.

726 citations

Journal ArticleDOI
TL;DR: This paper provides an overview and makes a deep investigation on sampled-data-based event-triggered control and filtering for networked systems, finding that a sampled- Data-based Event-Triggered Scheme can ensure a positive minimum inter-event time and make it possible to jointly design suitable feedback controllers and event- triggered threshold parameters.
Abstract: This paper provides an overview and makes a deep investigation on sampled-data-based event-triggered control and filtering for networked systems. Compared with some existing event-triggered and self-triggered schemes, a sampled-data-based event-triggered scheme can ensure a positive minimum inter-event time and make it possible to jointly design suitable feedback controllers and event-triggered threshold parameters. Thus, more attention has been paid to the sampled-data-based event-triggered scheme. A deep investigation is first made on the sampled-data-based event-triggered scheme. Then, recent results on sampled-data-based event-triggered state feedback control, dynamic output feedback control, $H_\infty$ filtering for networked systems are surveyed and analyzed. An overview on sampled-data-based event-triggered consensus for distributed multiagent systems is given. Finally, some challenging issues are addressed to direct the future research.

572 citations