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Chen Peng - One of the best experts on this subject based on the ideXlab platform.

  • consensus of multiagent systems with nonlinear dynamics using an integrated sampled data based event triggered Communication Scheme
    IEEE Transactions on Systems Man and Cybernetics, 2019
    Co-Authors: Chen Peng, Jin Zhang, Qinglong Han
    Abstract:

    This paper is concerned with the problem of event-triggered consensus for a nonlinear multiagent system. First, an integrated sampled-data-based event-triggered Communication Scheme is presented to decide when the current sampled-data should be broadcast. This Scheme takes full advantage of both absolute and relative error-based event-triggered transmission Schemes, and thus leading to a high efficiency of data transmissions. Second, a state-error-dependent delay system is delicately developed to model the multiagent system under the proposed sampled-data-based event-triggered consensus protocol. By virtue of the Lyapunov–Krasovskii functional method, a stability criterion and sufficient conditions on the existence of the consensus protocol and transmission Scheme are derived to ensure that the solution of the state error dependent delay system is uniformly ultimately bounded. Finally, two illustrative examples are employed to show the validity and advantage of the proposed transmission Scheme and consensus protocol.

  • adaptive event triggering h _ infty load frequency control for network based power systems
    IEEE Transactions on Industrial Electronics, 2018
    Co-Authors: Chen Peng, Jin Zhang, Huaicheng Yan
    Abstract:

    Load frequency control (LFC) is a very important method to keep the power systems stable and secure. However, due to the introduction of Communication networks in multi-area power systems, the traditional LFC method is not effective again. This motivates us to investigate an adaptive event-triggering ${H}_{\infty }$ LFC Scheme for multi-area power systems. Compared with the existing time-invariant event-triggering Communication Scheme, an adaptive event-triggering Communication Scheme is presented, where the event-triggering threshold can be dynamically adjusted to save more limited network resources, while preserving the desired control performance. Compared with the existing emulation-based method, where the controller must be known a priori , the stability and stabilization criteria derived in this work can provide a tradeoff to balance the required Communication resources and the desired control performance. The effectiveness of the proposed method is verified by two numerical examples.

  • network based h control for t s fuzzy systems with an adaptive event triggered Communication Scheme
    Fuzzy Sets and Systems, 2017
    Co-Authors: Chen Peng, Jin Zhang, Mingjin Yang, Minrui Fei
    Abstract:

    Abstract This paper extends the prior work of discrete event-triggered Communication for networked T–S fuzzy systems, where the next Communication instant is determined by an event-triggered Communication Scheme with a constant threshold and the premises of T–S fuzzy systems and parallel distribution compensation (PDC) fuzzy control rules are synchronous. Firstly, an adaptive event-triggered Communication Scheme for NCSs is presented, which relaxes the assumption of the prior work that the threshold of event-triggered Communication Scheme is a preselected constant. Secondly, an asynchronous premise re-construct method for networked T–S fuzzy systems is proposed, which relaxes the assumption of the prior work that the premises of the plant and the PDC control rules are synchronous. We show that the number of transmitted packets generated by the proposed Scheme is smaller than those generated by some existing ones while ensuring the desired control performance. Simulations show the effectiveness of the proposed method.

  • decentralized event triggering Communication Scheme for large scale systems under network environments
    Information Sciences, 2017
    Co-Authors: Chen Peng, Engang Tian, Jin Zhang
    Abstract:

    This paper investigates a decentralized event-triggering Communication Scheme for large-scale systems under network environments. First, a decentralized event-triggering Communication (DETC) Scheme for large-scale systems is proposed, which does not require that all transmitted nodes are synchronous. Second, a heuristic algorithm is presented to optimize the parameters of DETC to reduce the occupancy of the network resources induced by DETC. Third, by constructing a novel LyapunovKrasovskii functional, a stability criterion and a stabilization criterion are derived for ensuring that the solution of studied system is uniformly ultimately bounded (UUB). Compared with some existing emulation-based methods, the controller gains in this paper are no longer required to be known a priori. Finally, an example is given to show the effectiveness of the proposed approach.

  • adaptive event triggered Communication Scheme for networked control systems with randomly occurring nonlinearities and uncertainties
    Neurocomputing, 2016
    Co-Authors: Jin Zhang, Chen Peng, Min Zheng
    Abstract:

    This paper proposes a novel adaptive event-triggered Communication Scheme for networked control systems (NCSs) with randomly occurring nonlinearities and uncertainties. Firstly, an adaptive event-triggered Communication Scheme for NCSs is proposed, which can adaptively adjust the trigger parameter with respect to the dynamic error to save the limited network resources while ensuring the desired control performance. Secondly, an integrated model of the studied system is built under consideration of the network-induced delay, adaptive event-triggered Communication Scheme and randomly occurring nonlinearities and uncertainties in a unified framework. Then, sufficient stability criterion to judge the mean-square sense asymptotically stable and stabilization criterion to co-design the parameters of the Communication Scheme and controller are obtained for the system under consideration. Finally, two examples are given to illustrate the effectiveness of the developed method.

Jin Zhang - One of the best experts on this subject based on the ideXlab platform.

  • consensus of multiagent systems with nonlinear dynamics using an integrated sampled data based event triggered Communication Scheme
    IEEE Transactions on Systems Man and Cybernetics, 2019
    Co-Authors: Chen Peng, Jin Zhang, Qinglong Han
    Abstract:

    This paper is concerned with the problem of event-triggered consensus for a nonlinear multiagent system. First, an integrated sampled-data-based event-triggered Communication Scheme is presented to decide when the current sampled-data should be broadcast. This Scheme takes full advantage of both absolute and relative error-based event-triggered transmission Schemes, and thus leading to a high efficiency of data transmissions. Second, a state-error-dependent delay system is delicately developed to model the multiagent system under the proposed sampled-data-based event-triggered consensus protocol. By virtue of the Lyapunov–Krasovskii functional method, a stability criterion and sufficient conditions on the existence of the consensus protocol and transmission Scheme are derived to ensure that the solution of the state error dependent delay system is uniformly ultimately bounded. Finally, two illustrative examples are employed to show the validity and advantage of the proposed transmission Scheme and consensus protocol.

  • adaptive event triggering h _ infty load frequency control for network based power systems
    IEEE Transactions on Industrial Electronics, 2018
    Co-Authors: Chen Peng, Jin Zhang, Huaicheng Yan
    Abstract:

    Load frequency control (LFC) is a very important method to keep the power systems stable and secure. However, due to the introduction of Communication networks in multi-area power systems, the traditional LFC method is not effective again. This motivates us to investigate an adaptive event-triggering ${H}_{\infty }$ LFC Scheme for multi-area power systems. Compared with the existing time-invariant event-triggering Communication Scheme, an adaptive event-triggering Communication Scheme is presented, where the event-triggering threshold can be dynamically adjusted to save more limited network resources, while preserving the desired control performance. Compared with the existing emulation-based method, where the controller must be known a priori , the stability and stabilization criteria derived in this work can provide a tradeoff to balance the required Communication resources and the desired control performance. The effectiveness of the proposed method is verified by two numerical examples.

  • network based h control for t s fuzzy systems with an adaptive event triggered Communication Scheme
    Fuzzy Sets and Systems, 2017
    Co-Authors: Chen Peng, Jin Zhang, Mingjin Yang, Minrui Fei
    Abstract:

    Abstract This paper extends the prior work of discrete event-triggered Communication for networked T–S fuzzy systems, where the next Communication instant is determined by an event-triggered Communication Scheme with a constant threshold and the premises of T–S fuzzy systems and parallel distribution compensation (PDC) fuzzy control rules are synchronous. Firstly, an adaptive event-triggered Communication Scheme for NCSs is presented, which relaxes the assumption of the prior work that the threshold of event-triggered Communication Scheme is a preselected constant. Secondly, an asynchronous premise re-construct method for networked T–S fuzzy systems is proposed, which relaxes the assumption of the prior work that the premises of the plant and the PDC control rules are synchronous. We show that the number of transmitted packets generated by the proposed Scheme is smaller than those generated by some existing ones while ensuring the desired control performance. Simulations show the effectiveness of the proposed method.

  • decentralized event triggering Communication Scheme for large scale systems under network environments
    Information Sciences, 2017
    Co-Authors: Chen Peng, Engang Tian, Jin Zhang
    Abstract:

    This paper investigates a decentralized event-triggering Communication Scheme for large-scale systems under network environments. First, a decentralized event-triggering Communication (DETC) Scheme for large-scale systems is proposed, which does not require that all transmitted nodes are synchronous. Second, a heuristic algorithm is presented to optimize the parameters of DETC to reduce the occupancy of the network resources induced by DETC. Third, by constructing a novel LyapunovKrasovskii functional, a stability criterion and a stabilization criterion are derived for ensuring that the solution of studied system is uniformly ultimately bounded (UUB). Compared with some existing emulation-based methods, the controller gains in this paper are no longer required to be known a priori. Finally, an example is given to show the effectiveness of the proposed approach.

  • adaptive event triggered Communication Scheme for networked control systems with randomly occurring nonlinearities and uncertainties
    Neurocomputing, 2016
    Co-Authors: Jin Zhang, Chen Peng, Min Zheng
    Abstract:

    This paper proposes a novel adaptive event-triggered Communication Scheme for networked control systems (NCSs) with randomly occurring nonlinearities and uncertainties. Firstly, an adaptive event-triggered Communication Scheme for NCSs is proposed, which can adaptively adjust the trigger parameter with respect to the dynamic error to save the limited network resources while ensuring the desired control performance. Secondly, an integrated model of the studied system is built under consideration of the network-induced delay, adaptive event-triggered Communication Scheme and randomly occurring nonlinearities and uncertainties in a unified framework. Then, sufficient stability criterion to judge the mean-square sense asymptotically stable and stabilization criterion to co-design the parameters of the Communication Scheme and controller are obtained for the system under consideration. Finally, two examples are given to illustrate the effectiveness of the developed method.

Qinglong Han - One of the best experts on this subject based on the ideXlab platform.

  • distributed energy management for smart grids with an event triggered Communication Scheme
    IEEE Transactions on Control Systems and Technology, 2019
    Co-Authors: Lei Ding, Le Yi Wang, George Yin Yin, Wei Xing Zheng, Qinglong Han
    Abstract:

    This paper is concerned with distributed energy management and control issues of both generators and loads. It aims to maximize the total social welfare that balances generation-side expanses, user-side payments, and transmission line costs. A distributed control strategy with continuous information exchange among neighbors is first proposed. It is shown that this distributed algorithm achieves the global optimal power outputs on generators and the optimal electricity usage on loads asymptotically. To reduce Communication resource consumptions, the distributed optimization algorithm is further expanded to incorporate event-triggered Communication and control mechanism. In this new algorithm, an event-triggering condition for each generator and each load is employed to determine when its related state information should be sampled and transmitted to its neighbors. Compared with the standard periodic sampling and Communication Schemes, this new distributed and event-triggered algorithm can significantly reduce Communication data flows while achieving the nearly identical control performance to that under continuous data Communications. The theoretical results of this paper are validated by using a simulation case study with distributed generators and multiple loads on an IEEE 9-bus system.

  • consensus of multiagent systems with nonlinear dynamics using an integrated sampled data based event triggered Communication Scheme
    IEEE Transactions on Systems Man and Cybernetics, 2019
    Co-Authors: Chen Peng, Jin Zhang, Qinglong Han
    Abstract:

    This paper is concerned with the problem of event-triggered consensus for a nonlinear multiagent system. First, an integrated sampled-data-based event-triggered Communication Scheme is presented to decide when the current sampled-data should be broadcast. This Scheme takes full advantage of both absolute and relative error-based event-triggered transmission Schemes, and thus leading to a high efficiency of data transmissions. Second, a state-error-dependent delay system is delicately developed to model the multiagent system under the proposed sampled-data-based event-triggered consensus protocol. By virtue of the Lyapunov–Krasovskii functional method, a stability criterion and sufficient conditions on the existence of the consensus protocol and transmission Scheme are derived to ensure that the solution of the state error dependent delay system is uniformly ultimately bounded. Finally, two illustrative examples are employed to show the validity and advantage of the proposed transmission Scheme and consensus protocol.

  • network based output tracking control for t s fuzzy systems using an event triggered Communication Scheme
    Fuzzy Sets and Systems, 2015
    Co-Authors: Dawei Zhang, Qinglong Han, Xinchun Jia
    Abstract:

    This paper is concerned with network-based output tracking control for a T-S fuzzy system. An event-triggered Communication Scheme, under which the threshold depends on the latest successfully transmitted sampled-data, is introduced to reduce network resource utilization. Taking the event-triggered Communication Scheme and the asynchronous operation between the fuzzy system and the fuzzy controller, the resulting system is modeled as an asynchronous threshold-error-dependent system with an interval time-varying delay. A new delay-dependent criterion for L 2 -gain tracking performance of the asynchronous system is derived by applying the deviation bounds of asynchronous normalized membership functions. Based on this performance criterion, some criteria on the existence of the fuzzy tracking controller are established. A co-design algorithm is presented to obtain the control gains and the event-triggering parameters simultaneously. An example is given to illustrate the effectiveness of the proposed method.

  • distributed event triggered h filtering over sensor networks with Communication delays
    Information Sciences, 2015
    Co-Authors: Qinglong Han
    Abstract:

    This paper is concerned with distributed event-triggered H ∞ filtering over sensor networks with Communication delays. Firstly, a new distributed event-triggered Communication Scheme is proposed to determine whether or not each sensor's current sampled-data should be broadcast and transmitted for filter design. Each sensor node is capable to make its own decision to broadcast and to transmit current sampled-data only when its local measurement output error exceeds a specified threshold. Secondly, under the distributed event-triggered Communication Scheme, the resultant filtering error system, which includes information of Communication delays, is transformed into a system with multiple delays. Sufficient conditions on the existence of desired distributed event-triggered H ∞ filters are derived such that the resultant filtering error system is asymptotically stable with prescribed weighting average H ∞ performance. The trade-off analysis between Communication resource utilization and weighting average H ∞ performance is carried out. Thirdly, a co-design algorithm for simultaneously determining the filter parameters and the threshold parameters is developed. Finally, a benchmark example is given to show the effectiveness of the obtained theoretical results.

  • to transmit or not to transmit a discrete event triggered Communication Scheme for networked takagi sugeno fuzzy systems
    IEEE Transactions on Fuzzy Systems, 2013
    Co-Authors: Chen Peng, Qinglong Han, Dong Yue
    Abstract:

    This paper first proposes a discrete event-triggered Communication Scheme for a class of networked Takagi-Sugeno (T-S) fuzzy systems. This Scheme has two main features: 1) Whether or not the sampled state should be transmitted is determined by the current-sampled state and the error between the current-sampled state and the latest transmitted state. Compared with those in a periodic time-triggered Communication Scheme, the Communication bandwidth utilization is considerably reduced while preserving the desired control performance; and 2) it is a discrete event-triggered Communication Scheme due to the fact that the triggered conditions are only measured and checked at a constant sampling period. Compared with a continuous event-triggered Communication Scheme, the special hardware for continuous measurement and computation is no longer needed. Second, a networked T-S fuzzy model is delicately constructed, which not only considers nonuniform time scales in the networked T-S fuzzy model and the parallel distributed compensation fuzzy control rules but includes the aforementioned state error as well. Third, a stability criterion and a stabilization criterion about the networked T-S fuzzy system are derived, respectively. The stability criterion and stabilization criterion can provide a tradeoff to balance the required Communication resource and the desired performance: Lowering the desired performance allows the network to allocate more limited bandwidth to other nodes in need. Finally, a numerical example is given to show the effectiveness of the proposed method.

Dong Yue - One of the best experts on this subject based on the ideXlab platform.

  • on designing of an adaptive event triggered Communication Scheme for nonlinear networked interconnected control systems
    Information Sciences, 2018
    Co-Authors: Dong Yue, Engang Tian
    Abstract:

    Abstract This paper is concerned with the design of adaptive event-triggered Scheme for networked nonlinear interconnected systems via T-S fuzzy models. The transmission of control signals is based on a novel adaptive event-triggered Communication Scheme, where the adaptive threshold is dependent on a dynamic error of the system rather than a predetermined constant as the one in the existing results. The amount of the releasing data is regulated with the adaptive threshold that plays a crucial role in decision of whether releasing the sampled data or not. This technique reflects an inherent dynamic balance between the control performance and the utilization of the network resource. A corresponding Lyapunov function is constructed to achieve sufficient conditions of stability and stabilization. Finally, a simulation example is given to show the effectiveness of the proposed theoretic results.

  • to transmit or not to transmit a discrete event triggered Communication Scheme for networked takagi sugeno fuzzy systems
    IEEE Transactions on Fuzzy Systems, 2013
    Co-Authors: Chen Peng, Qinglong Han, Dong Yue
    Abstract:

    This paper first proposes a discrete event-triggered Communication Scheme for a class of networked Takagi-Sugeno (T-S) fuzzy systems. This Scheme has two main features: 1) Whether or not the sampled state should be transmitted is determined by the current-sampled state and the error between the current-sampled state and the latest transmitted state. Compared with those in a periodic time-triggered Communication Scheme, the Communication bandwidth utilization is considerably reduced while preserving the desired control performance; and 2) it is a discrete event-triggered Communication Scheme due to the fact that the triggered conditions are only measured and checked at a constant sampling period. Compared with a continuous event-triggered Communication Scheme, the special hardware for continuous measurement and computation is no longer needed. Second, a networked T-S fuzzy model is delicately constructed, which not only considers nonuniform time scales in the networked T-S fuzzy model and the parallel distributed compensation fuzzy control rules but includes the aforementioned state error as well. Third, a stability criterion and a stabilization criterion about the networked T-S fuzzy system are derived, respectively. The stability criterion and stabilization criterion can provide a tradeoff to balance the required Communication resource and the desired performance: Lowering the desired performance allows the network to allocate more limited bandwidth to other nodes in need. Finally, a numerical example is given to show the effectiveness of the proposed method.

Engang Tian - One of the best experts on this subject based on the ideXlab platform.

  • on designing of an adaptive event triggered Communication Scheme for nonlinear networked interconnected control systems
    Information Sciences, 2018
    Co-Authors: Dong Yue, Engang Tian
    Abstract:

    Abstract This paper is concerned with the design of adaptive event-triggered Scheme for networked nonlinear interconnected systems via T-S fuzzy models. The transmission of control signals is based on a novel adaptive event-triggered Communication Scheme, where the adaptive threshold is dependent on a dynamic error of the system rather than a predetermined constant as the one in the existing results. The amount of the releasing data is regulated with the adaptive threshold that plays a crucial role in decision of whether releasing the sampled data or not. This technique reflects an inherent dynamic balance between the control performance and the utilization of the network resource. A corresponding Lyapunov function is constructed to achieve sufficient conditions of stability and stabilization. Finally, a simulation example is given to show the effectiveness of the proposed theoretic results.

  • decentralized event triggering Communication Scheme for large scale systems under network environments
    Information Sciences, 2017
    Co-Authors: Chen Peng, Engang Tian, Jin Zhang
    Abstract:

    This paper investigates a decentralized event-triggering Communication Scheme for large-scale systems under network environments. First, a decentralized event-triggering Communication (DETC) Scheme for large-scale systems is proposed, which does not require that all transmitted nodes are synchronous. Second, a heuristic algorithm is presented to optimize the parameters of DETC to reduce the occupancy of the network resources induced by DETC. Third, by constructing a novel LyapunovKrasovskii functional, a stability criterion and a stabilization criterion are derived for ensuring that the solution of studied system is uniformly ultimately bounded (UUB). Compared with some existing emulation-based methods, the controller gains in this paper are no longer required to be known a priori. Finally, an example is given to show the effectiveness of the proposed approach.