The Experts below are selected from a list of 1238667 Experts worldwide ranked by ideXlab platform
Ridong Zhang - One of the best experts on this subject based on the ideXlab platform.
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Design of state space linear quadratic tracking control using ga optimization for batch processes with partial actuator failure
Journal of Process Control, 2015Co-Authors: Ridong Zhang, Qibing Jin, Furong GaoAbstract:Abstract This paper presents a new state space model Design of linear quadratic (LQ) tracking control scheme using genetic algorithm (GA) optimization for batch processes under partial actuator faults. To develop the LQ control, the process model is first transformed into a new state space formulation that includes both the process state and the output tracking error dynamics. Then the subsequent LQ control is formulated. As analytical tuning rules of the elements in the weighting matrices are not known, a GA is introduced to optimize these elements to achieve the desired closed-loop process responses. Simulation on several processes demonstrates that the proposed LQ scheme obtains the Design Objective well with improved control performance.
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state space model predictive fault tolerant control for batch processes with partial actuator failure
Journal of Process Control, 2014Co-Authors: Ridong Zhang, Furong GaoAbstract:Abstract This paper presents a state space model predictive fault-tolerant control scheme for batch processes with unknown disturbances and partial actuator faults. To develop the model predictive fault-tolerant control, the batch process is first treated into a non-minimal representation using state space transformation. The relevant concepts of the corresponding model predictive fault-tolerant control is thus introduced through state space formulation, where improved closed-loop control performance is achieved even with unknown disturbances and actuator faults, because, unlike traditional model predictive fault-tolerant control, the proposed control method can directly regulate the process output/input changes in the Design. For performance comparison, a traditional model predictive fault-tolerant control is also Designed. Application to injection velocity control shows that the proposed scheme achieve the Design Objective well with performance improvement.
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new Design of state space linear quadratic fault tolerant tracking control for batch processes with partial actuator failure
Industrial & Engineering Chemistry Research, 2013Co-Authors: Ridong Zhang, Liangzhi Gan, Furong GaoAbstract:In this paper we present a new state space model based linear quadratic fault-tolerant tracking control scheme for batch processes with unknown disturbances and partial actuator faults. To develop the linear quadratic fault-tolerant control, the batch process is first treated with a new state space representation that incorporates both the state and the output tracking error dynamics. Then relevant concepts of the subsequent linear quadratic control are formulated, where improved closed-loop control performance is achieved even with unknown disturbances and actuator faults compared with traditional linear quadratic control. Application to injection velocity control shows that the proposed scheme achieves the Design Objective well with performance improvement.
Furong Gao - One of the best experts on this subject based on the ideXlab platform.
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Design of state space linear quadratic tracking control using ga optimization for batch processes with partial actuator failure
Journal of Process Control, 2015Co-Authors: Ridong Zhang, Qibing Jin, Furong GaoAbstract:Abstract This paper presents a new state space model Design of linear quadratic (LQ) tracking control scheme using genetic algorithm (GA) optimization for batch processes under partial actuator faults. To develop the LQ control, the process model is first transformed into a new state space formulation that includes both the process state and the output tracking error dynamics. Then the subsequent LQ control is formulated. As analytical tuning rules of the elements in the weighting matrices are not known, a GA is introduced to optimize these elements to achieve the desired closed-loop process responses. Simulation on several processes demonstrates that the proposed LQ scheme obtains the Design Objective well with improved control performance.
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state space model predictive fault tolerant control for batch processes with partial actuator failure
Journal of Process Control, 2014Co-Authors: Ridong Zhang, Furong GaoAbstract:Abstract This paper presents a state space model predictive fault-tolerant control scheme for batch processes with unknown disturbances and partial actuator faults. To develop the model predictive fault-tolerant control, the batch process is first treated into a non-minimal representation using state space transformation. The relevant concepts of the corresponding model predictive fault-tolerant control is thus introduced through state space formulation, where improved closed-loop control performance is achieved even with unknown disturbances and actuator faults, because, unlike traditional model predictive fault-tolerant control, the proposed control method can directly regulate the process output/input changes in the Design. For performance comparison, a traditional model predictive fault-tolerant control is also Designed. Application to injection velocity control shows that the proposed scheme achieve the Design Objective well with performance improvement.
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new Design of state space linear quadratic fault tolerant tracking control for batch processes with partial actuator failure
Industrial & Engineering Chemistry Research, 2013Co-Authors: Ridong Zhang, Liangzhi Gan, Furong GaoAbstract:In this paper we present a new state space model based linear quadratic fault-tolerant tracking control scheme for batch processes with unknown disturbances and partial actuator faults. To develop the linear quadratic fault-tolerant control, the batch process is first treated with a new state space representation that incorporates both the state and the output tracking error dynamics. Then relevant concepts of the subsequent linear quadratic control are formulated, where improved closed-loop control performance is achieved even with unknown disturbances and actuator faults compared with traditional linear quadratic control. Application to injection velocity control shows that the proposed scheme achieves the Design Objective well with performance improvement.
Cheng Li - One of the best experts on this subject based on the ideXlab platform.
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An energy-efficient on-demand multicast routing protocol for wireless ad hoc and sensor networks
2013 IEEE Global Communications Conference (GLOBECOM), 2013Co-Authors: Jie Hao, Baoxian Zhang, Guojian Duan, Cheng LiAbstract:In this paper, we propose an energy-efficient on-demand multicast routing protocol (EMP) for wireless ad hoc and sensor networks. The Design Objective is to prolong the network lifetime of such networks. For this purpose, EMP introduces the strategy of energy critical avoidance in the process of on-demand construction of multicast routing trees. That is, those energy-critical nodes in the network are discouraged from involving a multicasting task. EMP also incorporates the destination-driven feature in its tree construction process in order to reduce the tree cost. We present the detailed Design description of EMP. Simulation results show that EMP can achieve high performance in terms of network lifetime.
Ertugrul E Karsak - One of the best experts on this subject based on the ideXlab platform.
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fuzzy multiple Objective programming framework to prioritize Design requirements in quality function deployment
Computers & Industrial Engineering, 2004Co-Authors: Ertugrul E KarsakAbstract:Quality Function Deployment (QFD) is a customer-oriented Design tool for developmg new or improved products to increase customer satisfaction by integrating marketing, Design engineering, manufacturing, and other related functions of an organization. QFD aims to maximize customer satisfaction; however, considerations such as cost budget, technical difficulty, etc. limit the number and the extent of the possible Design requirements that can be incorporated into a product. This paper presents a fuzzy multiple Objective programming approach that incorporates imprecise and subjective information inherent in the QFD planning process to determine the level of fulfillment of Design requirements. Linguistic variables are employed to represent the imprecise Design information and the importance degree of each Design Objective. A real-world application illustrates the proposed fuzzy multiple Objective decision analysis.
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fuzzy multiple Objective decision making approach to prioritize Design requirements in quality function deployment
International Journal of Production Research, 2004Co-Authors: Ertugrul E KarsakAbstract:Quality function deployment (QFD) is a customer-oriented Design tool for developing new or improved products to increase customer satisfaction by integrating marketing, Design engineering, manufacturing, and other related functions of an organization. QFD focuses on delivering value by taking into account customer needs and then deploying this information throughout the development process. Although QFD aims to maximize customer satisfaction, technology and cost considerations limit the number and the extent of the possible Design requirements that can be incorporated into a product. This paper presents a fuzzy multiple Objective programming approach that incorporates imprecise and subjective information inherent in the QFD planning process to determine the level of fulfilment of Design requirements. Linguistic variables are employed to represent the imprecise Design information and the importance degree of each Design Objective. The fuzzy Delphi method is utilized to achieve the consensus of customers in...
Baoxian Zhang - One of the best experts on this subject based on the ideXlab platform.
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An energy-efficient on-demand multicast routing protocol for wireless ad hoc and sensor networks
2013 IEEE Global Communications Conference (GLOBECOM), 2013Co-Authors: Jie Hao, Baoxian Zhang, Guojian Duan, Cheng LiAbstract:In this paper, we propose an energy-efficient on-demand multicast routing protocol (EMP) for wireless ad hoc and sensor networks. The Design Objective is to prolong the network lifetime of such networks. For this purpose, EMP introduces the strategy of energy critical avoidance in the process of on-demand construction of multicast routing trees. That is, those energy-critical nodes in the network are discouraged from involving a multicasting task. EMP also incorporates the destination-driven feature in its tree construction process in order to reduce the tree cost. We present the detailed Design description of EMP. Simulation results show that EMP can achieve high performance in terms of network lifetime.
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destination driven on demand multicast routing protocol for wireless ad hoc networks
International Conference on Communications, 2009Co-Authors: K Tian, Baoxian Zhang, Hussein T Mouftah, Zhijun ZhaoAbstract:Abstract-In this paper, we Design a destination-driven on-demand multicast routing protocol for wireless ad hoc networks. The Design Objective is to improve the multicast forwarding efficiency. To achieve this goal, the path to reach a multicast destination is biased towards those paths passing through another multicast destination. If multiple such choices are available, the one leading to the least extra cost is selected. Our protocol embeds this destination-driven feature into the on-demand multicast structure building process of an existing multicast protocol ODMRP. Detailed protocol Design descriptions are provided. Simulation results show that our protocol can greatly improve the forwarding efficiency as compared with ODMRP. Moreover, our destination-driven Design can also work well with other existing multicast routing protocols for wireless ad hoc networks.
