Leader-follower consensus is addressed in this paper for multi-agent systems with Lipschitz-type node dynamics and jointly connected dynamical topology. The main contribution of this works is to solve the leader-follo...
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ISBN:
(纸本)9781467374439
Leader-follower consensus is addressed in this paper for multi-agent systems with Lipschitz-type node dynamics and jointly connected dynamical topology. The main contribution of this works is to solve the leader-follower consensus problem with the general assumption that the network topology is specifically given and connected being removed. By considering the underlying communication graph for dynamic interaction topology, a bounded condition of consensus speed is proposed. By considering a combination of state information of follower and leader agents, a class of leader-follower consensus protocol is designed with the appropriate consensus speed. By appropriately constructing Lyapunov function, it is proved that the leader-follower consensus for the closed-loop multi-agent systems with Lipschitz-Type node dynamics and jointly connected dynamical topology can be achieved with carefully selected feedback gain matrix. Finally, one simulation example is presented to verify the proposed approach and demonstrate its effectiveness.
Dear editor,Model predictive control (MPC) is a practically effective and attractive approach in the field of industrial processes [1] owing to its excellent ability to handle constraints, nonlinearity, and performanc...
Dear editor,Model predictive control (MPC) is a practically effective and attractive approach in the field of industrial processes [1] owing to its excellent ability to handle constraints, nonlinearity, and performance/cost trade-offs. The core of all model-based predictive algorithms is to use "open-loop optimal control" instead of "closed-loop optimal control"within a moving horizon [2]. It is assumed in this
Heterogeneous networks(HetNets) are expected to be an integral component of expansion of 3G and emerging 4G network deployments. However, in order to achieve the quality-of-service(QoS) requirements of all the users, ...
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ISBN:
(纸本)9789881563842
Heterogeneous networks(HetNets) are expected to be an integral component of expansion of 3G and emerging 4G network deployments. However, in order to achieve the quality-of-service(QoS) requirements of all the users, interference mitigation techniques need to be developed to manage the radio resources of macrocells and small cells. In this paper, we focus on the optimal power allocation for downlink HetNets. Specifically, we take into account the different deployment targets and service requirements of macrocell base stations(BSs) and small cells(corresponding to picocells and femtocells), and classify them into two categories according to their deployers, namely, operator deployed BSs(OBSs) and customer deployed BSs(CBSs). Then, the framework of Stackelberg game with multiple leaders and multiple followers is adopted to investigate the downlink power allocation problem. To obtain the Stackelberg equilibrium(SE) distributively, we develop the power updating rules for both OBSs and CBSs. Moreover, the implementations of the proposed game are discussed. At last, numerical results show the convergence of the proposed game and the uniqueness of the SE.
This paper investigates the linear quadratic Gaussian(LQG) control problem over a packet-dropping network connecting the local sensor and the remote controller. A linear predictive compensator is proposed for countera...
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ISBN:
(纸本)9781479947249
This paper investigates the linear quadratic Gaussian(LQG) control problem over a packet-dropping network connecting the local sensor and the remote controller. A linear predictive compensator is proposed for counteracting the stochastic packet loss. The control command executes to the plant is rst expressed as the random sequence which relies on the packet arrival sequence. The information set of the system is then divided into several subsets and corresponding prediction error covariances of each subset are also obtained. By this means, the quantitative relationship between the performance index of LQG control and the prediction steps is established. Numerical example shows that there exists nite steps of prediction for minimizing the performance index.
For some big cities where congestion occurs frequently,this paper proposes a novel predictive congestion control algorithm,focusing on imposing hard constraints on links for avoiding *** the urban traffic network is o...
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ISBN:
(纸本)9781538629185
For some big cities where congestion occurs frequently,this paper proposes a novel predictive congestion control algorithm,focusing on imposing hard constraints on links for avoiding *** the urban traffic network is often optimized with some micro-integrated global performance indexes,which equalize the effect of congestion and the emergency of congestion may be ***,for cities with heavy congestion,more attentions should be directly paid to congestion avoidance which may be particularly sensitive for urban traffic managers and individual *** use the universal standard of length of the queue to describe the congestion status of the *** simplifying the macroscopic urban traffic S model,we approximately get a linear relationship between signals and queue lengths such that we can predict the future congestion status of the *** on this,we transform the traditional optimization into formulating the urban traffic congestion control as a constraint satisfaction problem(CSP) where congestion avoidance conditions are imposed on the links and the problem can be characterized by finding the feasible solution for a group of linear *** the problem is non-feasible,we further develop a hierarchical strategy to guarantee the most important links without *** results show that the control approach significantly decreases the number of congested links compared to other controllers.
In recent years, more and more plug-in hybrid electric vehicles(PHEVs) have been put to use in smart grid. In this paper, we consider a dynamic aggregator-PHEV system, where the aggregator convinces the PHEVs to use...
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ISBN:
(纸本)9781479947249
In recent years, more and more plug-in hybrid electric vehicles(PHEVs) have been put to use in smart grid. In this paper, we consider a dynamic aggregator-PHEV system, where the aggregator convinces the PHEVs to use electricity rather than gas by setting an appropriate charging price dynamically. We propose a payoff-maximizing algorithm for the aggregator to decide not only the charging price but also the electricity amount purchased from real-time power market based on Lyapunov optimization. Furthermore, we transform the power purchase problem into the energy allocation problem among all the *** proposed algorithm operates in real time and does not require any prior knowledge of the statistical information of the system. Theoretically, we demonstrate the proposed algorithm can guarantee system stability and achieve a result that is away from the optimum by O(1/V), where V is a control parameter. The effectiveness and robustness of the algorithm is validated through simulation results.
This paper establishes the prediction model of low cycle fatigue damage of steam turbine rotor using the rich data from finite element analysis. In order to monitor the damage, a multiple regression analysis of input ...
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ISBN:
(纸本)9781479947249
This paper establishes the prediction model of low cycle fatigue damage of steam turbine rotor using the rich data from finite element analysis. In order to monitor the damage, a multiple regression analysis of input data/output data with high correlation is made via dynamic PLS. The variation of the process parameters is extracted and it restrains the multiple dependency of the several parameters in different time series. Finally, a simulation of rolling process of a domestic 300 MW turbine unit validates the effectiveness and accuracy of the prediction model based on dynamic PLS.
Prediction of the future traffic states of the overall city arterial networks provides the process of urban traffic evolution for researchers,which can serve as reference information for the city traffic ***,the compl...
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ISBN:
(纸本)9781509009107
Prediction of the future traffic states of the overall city arterial networks provides the process of urban traffic evolution for researchers,which can serve as reference information for the city traffic ***,the complexity and heterogeneity of urban traffic system and the big data challenge have proven to be substantial difficulties.A probabilistic tree modeling framework for estimating the overall traffic states is proposed in this ***,we extract several typical traffic states covering the overall ***,the state predicting algorithm based on dynamic Variable-order Markov Model and Genetic Algorithm is developed,where different date attributes were evaluated ***,the prediction model using probability tree with multiple prediction steps is *** results using traffic speed data in Shanghai demonstrate the high accuracy and efficiency of the proposed method.
The ability to reconstruct complex networks plays an important role in our understanding of how nodes interact with each other and how information ows coordinate node's dynamic behaviors. Many similarity-based met...
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ISBN:
(纸本)9781509009107
The ability to reconstruct complex networks plays an important role in our understanding of how nodes interact with each other and how information ows coordinate node's dynamic behaviors. Many similarity-based methods usually prefer steadystate data to time-series and perform poorly with the latter, such as pearson correlation and mutual information. Meanwhile,these similarity-based methods result in networks of non-directional structure. Moreover, various methods have been proposed based on linear dynamic models. One of the most representative methods is graphical granger causality. In this paper,we consider the problem of discovering network structure from time-series and introduce a novel method for reconstructing nonlinear causal interactions among nodes in complex networks, termed as grouped sparse nonlinear graphical granger causality, which is particularly t for directionality and nonlinearity of real network systems. The performance of our proposed method is evaluated on synthetic datasets and the benchmark datasets of Dream3 Challenge4. Both the result of them demonstrate that our proposed method outperforms other methods.
Directional sensors,such as cameras,are limited in their sensing angles,but are able to switch to different directions and cover the area of interest *** directional sensor networks,how to prolong the network lifetime...
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ISBN:
(纸本)9789881563842
Directional sensors,such as cameras,are limited in their sensing angles,but are able to switch to different directions and cover the area of interest *** directional sensor networks,how to prolong the network lifetime while satisfying certain coverage requirements is a fundamental problem since the sensors are powered by *** this paper,we propose scheduling schemes for directional sensor networks to maximize the network lifetime and satisfy the coverage requirements,which are designed to cover the point of interest as well as a specified ratio of *** the position of the point of interest may change time to time,dynamic coverage constraints are considered in this *** and distributed scheduling algorithms are developed,*** results show that both algorithms can prolong the network lifetime significantly by balancing the energy consumption of the whole network.
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