The Experts below are selected from a list of 9375 Experts worldwide ranked by ideXlab platform
Songlin Hu - One of the best experts on this subject based on the ideXlab platform.
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H-Infinity Stabilization for Singular Networked Cascade Control Systems With State Delay and Disturbance
IEEE Transactions on Industrial Informatics, 2014Co-Authors: Zhaoping Du, Songlin HuAbstract:This paper is concerned with the stabilization and H∞ Control problems for a class of singular networked Cascade Control systems with state delay and disturbance. Via the fact that single loop feedback Control shows a shortcoming in that the plant output as nonzero disturbance acts on the systems, a new model of singular networked Cascade Control system is proposed. In this system, both the network-induced delay and data packed dropout phenomena are considered. Based on the model, sufficient conditions are derived in terms of linear matrix inequalities and the corresponding H∞ stabilizing Controller design technique is also developed based on the above conditions. The proposed method emphasizes the implementation issue and employs the Cascade Control to singular networked Control systems. A simulation example is given to illustrate the proposed design procedures and its applications.
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Modeling and stabilization for singular networked Cascade Control systems with state delay
Proceedings of the 32nd Chinese Control Conference, 2013Co-Authors: Zhaoping Du, Songlin Hu, Jianzhen LiAbstract:This paper is concerned with the modeling and stabilization problems for a class of singular networked Cascade Control systems with state delay. A new model of singular networked Cascade Control system is proposed. In this paper, both network-induced delay and data packed dropout phenomenons are considered. Based on the model, the admissible conditions are derived in terms of linear matrix inequalities, and the corresponding stabilizing Controller design technique is also developed based on the above conditions. The proposed method emphasizes the implementation issue and employs Cascade Control to the singular networked Control systems. A simulation example is included to illustrate the proposed design procedures.
Zhaoping Du - One of the best experts on this subject based on the ideXlab platform.
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H-Infinity Stabilization for Singular Networked Cascade Control Systems With State Delay and Disturbance
IEEE Transactions on Industrial Informatics, 2014Co-Authors: Zhaoping Du, Songlin HuAbstract:This paper is concerned with the stabilization and H∞ Control problems for a class of singular networked Cascade Control systems with state delay and disturbance. Via the fact that single loop feedback Control shows a shortcoming in that the plant output as nonzero disturbance acts on the systems, a new model of singular networked Cascade Control system is proposed. In this system, both the network-induced delay and data packed dropout phenomena are considered. Based on the model, sufficient conditions are derived in terms of linear matrix inequalities and the corresponding H∞ stabilizing Controller design technique is also developed based on the above conditions. The proposed method emphasizes the implementation issue and employs the Cascade Control to singular networked Control systems. A simulation example is given to illustrate the proposed design procedures and its applications.
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Modeling and stabilization for singular networked Cascade Control systems with state delay
Proceedings of the 32nd Chinese Control Conference, 2013Co-Authors: Zhaoping Du, Songlin Hu, Jianzhen LiAbstract:This paper is concerned with the modeling and stabilization problems for a class of singular networked Cascade Control systems with state delay. A new model of singular networked Cascade Control system is proposed. In this paper, both network-induced delay and data packed dropout phenomenons are considered. Based on the model, the admissible conditions are derived in terms of linear matrix inequalities, and the corresponding stabilizing Controller design technique is also developed based on the above conditions. The proposed method emphasizes the implementation issue and employs Cascade Control to the singular networked Control systems. A simulation example is included to illustrate the proposed design procedures.
Hashem Ashrafiuon - One of the best experts on this subject based on the ideXlab platform.
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Predictive and sliding mode Cascade Control for Unmanned Surface Vessels
Proceedings of the 2011 American Control Conference, 2011Co-Authors: L.C. McNinch, Hashem AshrafiuonAbstract:This paper presents an optimizing sliding mode Cascade Control structure that determines the optimal sliding surface parameters for sliding mode Control of underactuated Unmanned Surface Vessel systems. A discrete-time, nonlinear model predictive Controller is used to update the parameters of the sliding mode Control surfaces in order to achieve a specified performance objective such as minimum tracking error, minimum time or minimum energy. The determination of these surface parameters is subject to constraints that arise from the stability conditions imposed by the sliding mode Control law and the physical limits on the system such as input saturation. Examples are presented to verify the superior performance of the Cascade Control structure compared with the original sliding mode Control.
L.C. McNinch - One of the best experts on this subject based on the ideXlab platform.
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Predictive and sliding mode Cascade Control for Unmanned Surface Vessels
Proceedings of the 2011 American Control Conference, 2011Co-Authors: L.C. McNinch, Hashem AshrafiuonAbstract:This paper presents an optimizing sliding mode Cascade Control structure that determines the optimal sliding surface parameters for sliding mode Control of underactuated Unmanned Surface Vessel systems. A discrete-time, nonlinear model predictive Controller is used to update the parameters of the sliding mode Control surfaces in order to achieve a specified performance objective such as minimum tracking error, minimum time or minimum energy. The determination of these surface parameters is subject to constraints that arise from the stability conditions imposed by the sliding mode Control law and the physical limits on the system such as input saturation. Examples are presented to verify the superior performance of the Cascade Control structure compared with the original sliding mode Control.
N. Pappa - One of the best experts on this subject based on the ideXlab platform.
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Artificial Neural Network tuned Cascade Control for temperature Control of polymerization reactor
2011 IEEE International Symposium on Intelligent Control, 2011Co-Authors: D. Vasanthi, B. Pranavamoorthy, N. PappaAbstract:The temperature Control of a polymerization reactor described by Chylla and Haase, which is a Control engineering benchmark problem, is used to illustrate the potential of adaptive Control design by extending the conventional Cascade Control concept. In the benchmark scenario, the operation of the reactor must be guaranteed under various disturbing influences, e.g., changing ambient temperatures or impurity of the monomer. The Cascade Control provides a robust operation, but often lacks in Control performance concerning the required strict temperature tolerances. The Control concept presented in this contribution solves the problem by employing a self tuning Cascade Control concept in order to improve the performance of the temperature Control. This design calculates a trajectory for the cooling jacket temperature in order to follow a predefined trajectory of the reactor temperature. Thereby, the reaction heat as well as the heat transfer coefficient in the energy balance is estimated by using Artificial Neural Network (ANN). Two simple physically motivated relations are employed, which allow the non-delayed estimation of both quantities. Simulation results under model uncertainties show the effectiveness of the self tuning Cascade Control concept.