@conference {
	title = {Adaptive Hierarchical Resource Management for the Hybrid network of MANET-Satellite Internet},
	author = {Liu, Nelson X., Zhou, Xiaoming., Baras, John S.},
	year = {2004},
	month = {09/2004},
	abstract = {MANETs are often deployed in an infrastructure-less or hostile region where the satellite provides the only link for the MANETs to communicate with the rest part of the world. It faces many challenges to support multiple serviced communications between MANETs and Internet through satellite. In this paper we propose an efficient resource management scheme called AHRM to dynamically allocate bandwidths among multiple MANET users and multiple priority and non-priority services sharing a multi-access satellite channel. It uses a flexible hierarchical structure to exploit the channel utility and resolve contention from two levels. A bandwidth adaptation algorithm is designed to adjust the allocation dynamically in response to traffic and link status changes. The algorithm turns out to be in line with reinforcement learning and is a customized version of it for the practical satellite network setting. Implementation issues are discussed. Simulation results are presented, showing that the scheme can guarantee fast delivery of critical messages in spite of channel contention, and significantly improve the performance of multiple services.},
	address = {Los Angeles, California},
	booktitle = {2004 IEEE Vehicular Technology Conference},
	pages = {pp. 4027-4031}
}
@article {
	title = {Modeling and Control of Hysteresis in Magnetostrictive Actuators},
	author = {Tan, Xiaobo., Baras, John S.},
	year = {2004},
	month = {07/2004},
	abstract = {A novel dynamic model is proposed for the hysteresis in magnetostrictive actuators by coupling a Preisach operator to an ordinary differential equation, and a parameter identification method is described. An efficient inversion algorithm for a class of Preisach operators with piecewise uniform density functions is then introduced, based upon which an inverse control scheme for the dynamic hysteresis model is presented. Finally, the inversion error is quantified and l1 control theory is applied to improve the robustness of inverse compensation. Simulation and experimental results based on a Terfenol-D actuator are provided.},
	pages = {pp. 1469-1480},
	volume = {Volume 40},
	number = {Issue 9},
	journal = {Automatica}
}
@conference {
	title = {Adaptive Inverse Control of Hysteresis in Smart Materials},
	author = {Tan, Xiaobo., Baras, John S.},
	year = {2004},
	month = {09/2004},
	abstract = {Hysteresis hinders the effective use of smart materials in sensors and actuators. This paper addresses recursive identification and adaptive inverse control of hysteresis in smart material actuators, where hysteresis is modeled by a Preisach operator with a piecewise uniform density function. Two classes of identification schemes are proposed and compared, one based on the hysteresis output, the other based on the time-difference of the output. Conditions for parameter convergence are presented in terms of the input to the Preisach operator. An adaptive inverse control scheme is developed by updating the Preisach operator (and thus its inverse) with the output-based identification method. The asymptotic tracking property of this scheme is established, and for periodic reference trajectories, the parameter convergence behavior is characterized. Practical issues in the implementation of the adaptive identification and inverse control methods are also investigated. Simulation and experimental results based on a magnetostrictive actuator are provided to illustrate the proposed approach.},
	address = {Stuttgart, Germany},
	booktitle = {2004 Nonlinear Control Systems (NOLCOS) IFAC Workshop}
}
@article {
	title = {Adaptive Identification and Control of Hysteresis in Smart Materials},
	author = {Tan, Xiaobo., Baras, John S.},
	year = {2004},
	month = {09/2004},
	abstract = {Hysteresis hinders the effective use of smart materials in sensors and actuators. This paper addresses recursive identification and adaptive inverse control of hysteresis in smart material actuators, where hysteresis is modeled by a Preisach operator with a piecewise uniform density function. Two classes of identification schemes are proposed and compared, one based on the hysteresis output, the other based on the time difference of the output. Conditions for parameter convergence are presented in terms of the input to the Preisach operator. An adaptive inverse control scheme is developed by updating the Preisach operator (and thus its inverse) with the output-based identification method. The asymptotic tracking property of this scheme is established, and for periodic reference trajectories, the parameter convergence behavior is characterized. Practical issues in the implementation of the adaptive identification and inverse control methods are also investigated. Simulation and experimental results based on a magnetostrictive actuator are provided to illustrate the proposed approach.},
	pages = {pp. 827-839},
	volume = {Vol.  50},
	number = {No. 6},
	journal = {IEEE Transactions on Automatic Control.}
}
