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Low-rank matrix recovery (MR) has been widely used in data analysis and dimensionality reduction. As a direct heuristic to MR, convex relaxation is usually degraded by the repeated calling of singular value decomposition (SVD), especially in large-scale applications. In this paper, we propose a novel Riemannian optimization method (ROAM) for MR problem by exploiting the Riemannian geometry of the...
This note gives a brief survey on discrete-time stochastic iterative learning control (SILC) from three aspects, namely, SILC for linear system, nonlinear system and system with other stochastic signal. Two major approaches, stochastic Kalman filtering approach and stochastic approximation approach, for SILC are proposed. Some open questions are also included.
Ramp metering is an effective tool for traffic management on freeway networks. In this paper, we apply iterative learning control (ILC) to address ramp metering in a macroscopic-level freeway environment. By formulating the original ramp metering problem as an output regulating and disturbance rejection problem, ILC has been applied to control the traffic response. The learning mechanism is further...
This paper presents the consensus-based distributed detection (CBDD) algorithm for wireless ad hoc networks, where no fusion center is involved in collecting local information and all nodes reach global decision consensus based on local information exchange. The convergence properties and probability of error of the CBDD algorithm are investigated assuming independent and identically distributed (i...
This paper presents a linear high-order distributed average consensus (DAC) algorithmfor wireless sensor networks. The average consensus property and convergence rate of the highorder DAC algorithm are analyzed. In particular, the convergence rate is determined by the spectral radius of a network topology dependent matrix. Numerical results indicate that this simple linear high-order DAC algorithm...
This paper proposes a novel discrete time second- order distributed consensus time synchronization (SO-DCTS) algorithm for wireless sensor networks. The consensus properties and convergence rates of the SO-DCTS algorithm are analyzed for both directed and undirected networks. Additionally, the convergence region and optimal convergence rate of the SO- DCTS algorithm are determined for undirected networks...
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