DSpace Community:http://hdl.handle.net/2440/2922014-08-29T22:09:22Z2014-08-29T22:09:22ZTerahertz reflectarray as a polarizing beam splitterNiu, T.Withayachumnankul, W.Upadhyay, A.Gutruf, P.Abbott, D.Bhaskaran, M.Sriram, S.Fumeaux, C.http://hdl.handle.net/2440/846782014-08-27T23:29:26Z2013-12-31T13:30:00ZTitle: Terahertz reflectarray as a polarizing beam splitter
Author: Niu, T.; Withayachumnankul, W.; Upadhyay, A.; Gutruf, P.; Abbott, D.; Bhaskaran, M.; Sriram, S.; Fumeaux, C.2013-12-31T13:30:00ZCentral suboptimal H∞ filter design for linear time-varying systems with state delayBasin, M.Shi, P.Calderon-Alvarez, D.Wang, J.http://hdl.handle.net/2440/846702014-08-27T23:30:09Z2007-12-31T13:30:00ZTitle: Central suboptimal H∞ filter design for linear time-varying systems with state delay
Author: Basin, M.; Shi, P.; Calderon-Alvarez, D.; Wang, J.
Abstract: This paper presents the central finite-dimensional H∞ filters for linear systems with state delay, that are suboptimal for a given threshold ϒwith respect to a modified Bolza- Meyer quadratic criterion including the attenuation control term with the opposite sign. In contrast to the results previously obtained for linear time delay systems, the paper reduces the original Hyen filtering problems to H₂ (optimal mean-square) filtering problems, using the technique proposed in [1]. The paper first presents the central suboptimal H∞ filter for linear systems with state delay, based on the optimal H₂ filter from [37], which contains a finite number of the filtering equations for any fixed filtering horizon, but this number grows unboundedly as time goes to infinity. To overcome that difficulty, the alternative central suboptimal H∞filter is designed for linear systems with state delay, which is based on the alternative optimal H₂ filter from [38]. Numerical simulations are conducted to verify performance of the designed central suboptimal filters for linear systems with state delay against the central suboptimal Hyen filter available for linear systems without delays.2007-12-31T13:30:00ZModel reduction for switched linear parameter varying systems with average dwell timeZhang, L.Shi, P.Basin, M.http://hdl.handle.net/2440/846692014-08-26T23:25:36Z2007-12-31T13:30:00ZTitle: Model reduction for switched linear parameter varying systems with average dwell time
Author: Zhang, L.; Shi, P.; Basin, M.
Abstract: In this paper, the model reduction problem is studied for a class of discrete-time switched linear parameter varying systems under average dwell time switching. A parameterized reduced-order model is constructed and the corresponding existence conditions of such models are derived via LMI formulation. The minimal average dwell time among all the subsystems and the desired reduced system are obtained such that the resulting model error system is exponentially stable and has a guaranteed l2 - l1 error performance. A numerical example is given to demonstrate the potential and effectiveness of the developed theoretical results.2007-12-31T13:30:00ZOptimal state filtering and parameter identification for linear time-delay systemsBasin, M.Shi, P.Calderon-Alvarez, D.http://hdl.handle.net/2440/846682014-08-26T23:24:04Z2007-12-31T13:30:00ZTitle: Optimal state filtering and parameter identification for linear time-delay systems
Author: Basin, M.; Shi, P.; Calderon-Alvarez, D.
Abstract: This paper presents the optimal joint state filtering and parameter identification problem for linear stochastic timedelay systems with unknown parameters. The original identification problem is reduced to the optimal filtering problem for incompletely measured polynomial (bilinear) time-delay system states over linear observations with an arbitrary, not necessarily invertible, observation matrix, where the unknown parameters are considered standard Wiener processes and incorporated as additional states in the extended state vector. The obtained solution is based on the designed optimal filter for incompletely measured bilinear time-delay states over linear observations, taking into account that the optimal filter for the extended state vector also serves as the optimal identifier for the unknown parameters. In the example, performance of the designed optimal state filter and parameter identifier is verified for a linear time-delay system with an unknown multiplicative parameter over linear observations. Both, stable and unstable, linear systems are examined.2007-12-31T13:30:00Z