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- Joseph J Distefano, Allen R Stubberud, +14 authors Toronto

Setting signals at intersections to minimize the queue length and vehicle delay time is a key goal in traffic management. In this paper, a new control strategy for a signalized traffic intersection is developed by applying Markovian decision control theory. Statistical analysis of simulation results with different arrival rates indicate the excellent… (More)

- Mohammed S. Santina, Allen R. Stubberud
- Handbook of Networked and Embedded Control…
- 2005

- Joseph J Distefano, Allen R Stubberud, +15 authors Toronto

In modern usage the word system has many meanings. So let us begin by defining what we mean when we use this word in this book, first abstractly then slightly more specifically in relation to scientific literature. Definition 1.1a: A system is an arrangement, set, or collection of things connected or related in such a manner as to form an entirety or whole.… (More)

A neural extended Kalman filter algorithm was embedded in an interacting multiple model architecture for target tracking. The neural extended Kalman filter algorithm is used to improve motion model prediction during maneuvers. With a better target motion mode, noise reduction can be achieved through a maneuver. Unlike the interacting multiple model… (More)

- Hari C. Reddy, George S. Moschytz, Allen R. Stubberud
- ISCAS
- 1995

Tuan A. Duong”+, Allen R. Stubberud+, and Taher Daud* “ Center for Space Microelectronics Technology Jet Propulsion Laboratory, California Institute of Technology Pasadena, CA 91109 + Department of Electrical Engineering, University of California, Irvine Irvine, CA 92717 Abs[ract: Ifie cascade correlation based neural network learning algorithm has drwwvt a… (More)

- Tuan A. Duongmm, Allen R. Stubberud
- Int. J. Neural Syst.
- 2000

In this paper, we present a mathematical foundation, including a convergence analysis, for cascading architecture neural network. Our analysis also shows that the convergence of the cascade architecture neural network is assured because it satisfies Liapunov criteria, in an added hidden unit domain rather than in the time domain. From this analysis, a… (More)

A typical urban traffic network is a complicated large-scale stochastic system which consists of many interconnected signalized traffic intersections. Thls paper develops a decentralized real-time adaptive control strategy for the traffic networks based on Markov decision theory. Computer simulation results of this new approach on a five intersection… (More)