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Jun 30, 2018
06/18

by
Wuhua Hu

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Optimization-based state estimation is useful for nonlinear or constrained dynamic systems for which few general methods with established properties are available. The two fundamental forms are moving horizon estimation (MHE) which uses the nearest measurements within a moving time horizon, and its theoretical ideal, full information estimation (FIE) which uses all measurements up to the time of estimation. Despite extensive studies, the stability analyses of FIE and MHE for discrete-time...

Topics: Optimization and Control, Mathematics

Source: http://arxiv.org/abs/1702.01903

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3.0

Jun 30, 2018
06/18

by
Wuhua Hu; Wee Peng Tay

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We propose a multi-hop diffusion strategy for a sensor network to perform distributed least mean-squares (LMS) estimation under local and network-wide energy constraints. At each iteration of the strategy, each node can combine intermediate parameter estimates from nodes other than its physical neighbors via a multi-hop relay path. We propose a rule to select combination weights for the multi-hop neighbors, which can balance between the transient and the steady-state network mean-square...

Topics: Mathematics, Computing Research Repository, Information Theory, Optimization and Control

Source: http://arxiv.org/abs/1407.6490

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Jun 26, 2018
06/18

by
Wuhua Hu; Jianfeng Mao; Keji Wei

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Rail-guided vehicles (RGVs) are widely employed in automated freight handling system (AFHS) to transport surging air cargo. Energy-efficient routing of such vehicles is of great interest for both financial and environmental sustainability. Given a multi-capacity RGV working on a linear track in AFHS, we consider its optimal routing under two-sided loading/unloading (TSLU) operations, in which energy consumption is minimized under conflict-avoidance and time window constraints. The energy...

Topics: Mathematics, Optimization and Control

Source: http://arxiv.org/abs/1502.01452

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3.0

Jun 30, 2018
06/18

by
Wuhua Hu; Lihua Xie; Keyou You

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This paper studies an optimization-based state estimation approach for discrete-time nonlinear systems under bounded process and measurement disturbances. We first introduce a full information estimator (FIE), which is given as a solution to minimize a cost function by using all the available measurements. Then, we prove that the FIE of an incrementally input/output-to-state stable system is robustly globally asymptotically stable under a certain class of cost functions. Moreover, the...

Topics: Optimization and Control, Mathematics, Dynamical Systems

Source: http://arxiv.org/abs/1410.5033

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4.0

Jun 29, 2018
06/18

by
Wuhua Hu; Ping Wang; Hoay Beng Gooi

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This work considers energy management in a grid-connected microgrid which consists of multiple conventional generators (CGs), renewable generators (RGs) and energy storage systems (ESSs). A two-stage optimization approach is presented to schedule the power generation, aimed at minimizing the long-term average operating cost subject to operational and service constraints. The first stage of optimization determines hourly unit commitment of the CGs via a day-ahead scheduling, and the second stage...

Topics: Optimization and Control, Mathematics

Source: http://arxiv.org/abs/1603.05762

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5.0

Jun 30, 2018
06/18

by
Wuhua Hu; Ping Wang; Hoay Beng Gooi

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This paper presents an approach to assess the economics of customer-sited energy storage systems (ESSs) which are owned and operated by a customer. The ESSs can participate in frequency regulation and spinning reserve markets, and are used to help the customer consume available renewable energy and reduce electricity bill. A rolling-horizon approach is developed to optimize the service schedule, and the resulting costs and revenues are used to assess economics of the ESSs. The economic...

Topics: Optimization and Control, Mathematics

Source: http://arxiv.org/abs/1701.08472

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6.0

Jun 30, 2018
06/18

by
Yuan Wang; Wee Peng Tay; Wuhua Hu

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We consider a multitask estimation problem where nodes in a network are divided into several connected clusters, with each cluster performing a least-mean-squares estimation of a different random parameter vector. Inspired by the adapt-then-combine diffusion strategy, we propose a multitask diffusion strategy whose mean stability can be ensured whenever individual nodes are stable in the mean, regardless of the inter-cluster cooperation weights. In addition, the proposed strategy is able to...

Topics: Systems and Control, Computing Research Repository

Source: http://arxiv.org/abs/1703.01888

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3.0

Jun 30, 2018
06/18

by
Wuhua Hu; Wee Peng Tay; Athul Harilal; Gaoxi Xiao

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We study the problem of identifying a single infection source in a network under the susceptible-infected-recovered-infected (SIRI) model. We describe the infection model via a state-space model, and utilizing a state propagation approach, we derive an algorithm known as the heterogeneous infection spreading source (HISS) estimator, to infer the infection source. The HISS estimator uses the observations of node states at a particular time, where the elapsed time from the start of the infection...

Topics: Physics, Mathematics, Physics and Society, Computing Research Repository, Social and Information...

Source: http://arxiv.org/abs/1410.2995