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Average-consensus filter problem is investigated for a mixed-order multi-agent system, which consists of first-order and second-order agents, and the proportional-integral consensus filter algorithms are proposed for the agents with different constant inputs. Based on generalized Nyquist stability criterion, sufficient convergence conditions are obtained for the multiagent system under a fixed, symmetric...
This paper proposes two constraint-handling techniques based on multiobjective optimization with biased dynamic weights for constrained optimization problems (COPs). Transforming a COP into an unconstrained biobjective optimization, two popular strategies based on decomposition, i.e. Tchebycheff approach (TEA) and weighted sum approach (WSA) are used in this paper respectively. In order to keep a...
Usual consensus algorithm is adopted to solve the consensus problem of general linear first-order multi-agent systems subjected to communication delay. In addition to normal synchronously-coupled form and asynchronously-coupled form, we proposed a new compensation-based form for the consensus algorithm. With the help of frequency-domain analysis, consensus conditions are obtained for the agents to...
For the multi-agent systems with agent's dynamics described by high-order integrator, and usual consensus algorithm composed of the states' coordination control parts is proposed. Under communication delay, consensus algorithm in asynchronously-coupled form just can make the agents achieve a stationary consensus, and sufficient consensus condition is obtained based on frequency-domain analysis. To...
In this paper we introduce a novel probabilistic topic model named rLDA-SNGRLD for motions or activities mining in complex scene. Based on the improvement of rLDA model, we developed SNGRLD algorithm which can inference in real-time with massive video stream data set and mine the video latent motion topics and motion regions online. Experiments prove that the application of this model for detecting...
Smart home becomes an emerging research topic these years. It offers various advantages such as facilitating the control of home appliances and the reduction of electricity bill. In this paper, a dynamic programming based game theoretic algorithm is proposed for multiple user smart home scheduling which can handle home appliances with multiple discrete power levels. The simulation results on test...
Output consensus problem is investigated for the mixed-order multi-agent system, which is composed of two types agents with one and two poles at the origin respectively. According to generalized Nyquist stability criterion, consensus conditions are gained for the mixed-order multi-agent systems to achieve an asymptotic stationary consensus. Besides, output consensus is also analyzed for a simplest...
A new model of time division duplex long term evolution (TD-LTE) system considering crossed time slot (CTS) interference is proposed in this paper because CTS interference may greatly affect system performance. An improved quantum evolutionary algorithm (QEA) is put forward to solve the model efficiently. The proposed QEA enhances the global search capability and has a good convergence due to the...
Voltage partitioning on functional units/blocks targeting peak power minimization has been demonstrated to be effective for energy reduction considering voltage island shutdown impact. However, the existing technique can only solve this NP-hard problem efficiently on small designs. In this paper, a much faster linear time approximation scheme is proposed, which can approximate the optimal voltage...
Current core networks are composed of high-end routers which are connected by high-speed fibers. These optical connections are commonly overprovisioned and in low utilization. Many of them are combined together to form bundle links or composite links and the component links are referred to as sublinks. These physical sublinks could be SONET connections, Ethernet circuits, wavelengths on a fiber, etc...
The Gaussian mixture model (GMM) has been widely used in pattern recognition problems for clustering and probability density estimation. Given the number of mixture components (model order), the parameters of GMM can be estimated by the EM algorithm. The model order selection, however, remains an open problem. For classification purpose, we propose a discriminative model selection method to optimize...
In the assumption that all load nodes are installed reactive power compensation device, injecting a variety of disturbances to the grid, through the application of improved ant colony algorithm, we can obtain the optimal control sequence under disturbance, that is current switching reactive power compensation device node location. Comparing control sequences under the various perturbations, with circulation...
When distributed generations (DG) and storages are introduced into distribution network, power flow in the network is no longer single direction, in consequence, over-current relay, which is commonly used in distribution network cannot fulfill sufficient protection functions. Thus, more complicated protection principle, for example, directional protection may be needed in this situation. On the other...
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