Title: Optimal Power Control for Long-term Remote State Estimation: A Tradeoff Perspective
Abstract: In the Cyber-Physical System framework, sensors are deployed in some particular area to monitor physical plants. Limited energy budget of the sensors is a crucial factor to impact the performance of state monitoring on the physical plant. This talk considers the scenario that a power-limited sensor sends the state information of a physical plant to a remote estimator over a correlated block fading wireless channel. From the perspective of system operator, it is of importance to design a proper transmission power scheduling policy to achieve desirable long-term estimation quality at the remote estimator side and save the power cost at the sensor side concurrently. To achieve this objective, we construct an optimization problem which minimizes the weighted sum of the average estimation error and the average power cost in an infinite time horizon. According to the Markov decision theory, we can derive the existence of the optimal solution and its structure. Since an implicit part is existent in its expression, the obtained optimal solution cannot be applied to control the transmission power directly. To approximate the unclear part in the optimal solution, we restrain the sensor power control policy and obtain a close-form expression of this part. Then a suboptimal power scheduling strategy with the explicit expression is presented.
Introduction: Wei Xing Zheng received the B.Sc. degree in Applied Mathematics in 1982, the M.Sc. degree in Control Theory and Applications in 1984, and the PhD degree in Control Theory and Applications in 1989, all from Southeast University, Nanjing, China. Over the years, he has held various faculty/research/visiting positions at Southeast University, China; Imperial College of Science, Technology and Medicine, UK; University of Western Australia, Curtin University of Technology, Australia; Munich University of Technology, Germany; University of Virginia, USA; and University of California-Davis, USA. Currently he holds the rank of Full Professor at Western Sydney University, Australia. Dr. Zheng is a Fellow of IEEE. He was thrice named as an ISI Highly Cited Researcher in 2015, 2016 and 2017. Previously, he served as an Associate Editor for IEEE Transactions on Circuits and Systems-I: Fundamental Theory and Applications, IEEE Transactions on Automatic Control, IEEE Signal Processing Letters, IEEE Transactions on Circuits and Systems-II: Express Briefs, and IEEE Transactions on Fuzzy Systems, and as a Guest Editor for IEEE Transactions on Circuits and Systems-I: Regular Papers. Currently, he serves as an Associate Editor for Automatica, IEEE Transactions on Automatic Control (the second term), IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Control of Network Systems, and other scholarly journals.
