Add to ORKGInvestigate the problems of model reduction, reduced order filtering and optimal estimation of singular systems.RG 6/9
Large complex mathematical models are regularly used for simulation and prediction. However, in cont...
Annual technical report for grant AFOSR-88-0032.Investigators: Alan S. Willsky, George C. Verghese.I...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57879/1/OptProjSingStateEstTAC1987.pd
Investigate the problems of model reduction, reduced order filtering and optimal estimation of singu...
The problem of model reduction covers a wide spectrum of methodologies and applications. In view of ...
This paper presents all optimal discrete time reduced order Kalman filter. The reduced order filter ...
This paper addresses a problem in control relevant model reduction. More specifically, a model reduc...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
An improved H1 suboptimal model reduction for singular systems is proposed. The proposed method is b...
This paper presents an optimal discrete time reduced order Kalman filter. The reduced order filter i...
Singular systems have been widely studied in the past two decades due to their extensive application...
Model order reduction of nonlinear systems: status, open issues, and application
Abstract In this paper, H ∞ optimal model reduction for singular fast subsystems will be inves-tigat...
This monograph addresses the state of the art of reduced order methods for modeling and computationa...
105 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1979.U of I OnlyRestricted to the ...
Large complex mathematical models are regularly used for simulation and prediction. However, in cont...
Annual technical report for grant AFOSR-88-0032.Investigators: Alan S. Willsky, George C. Verghese.I...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57879/1/OptProjSingStateEstTAC1987.pd
Investigate the problems of model reduction, reduced order filtering and optimal estimation of singu...
The problem of model reduction covers a wide spectrum of methodologies and applications. In view of ...
This paper presents all optimal discrete time reduced order Kalman filter. The reduced order filter ...
This paper addresses a problem in control relevant model reduction. More specifically, a model reduc...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
An improved H1 suboptimal model reduction for singular systems is proposed. The proposed method is b...
This paper presents an optimal discrete time reduced order Kalman filter. The reduced order filter i...
Singular systems have been widely studied in the past two decades due to their extensive application...
Model order reduction of nonlinear systems: status, open issues, and application
Abstract In this paper, H ∞ optimal model reduction for singular fast subsystems will be inves-tigat...
This monograph addresses the state of the art of reduced order methods for modeling and computationa...
105 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1979.U of I OnlyRestricted to the ...
Large complex mathematical models are regularly used for simulation and prediction. However, in cont...
Annual technical report for grant AFOSR-88-0032.Investigators: Alan S. Willsky, George C. Verghese.I...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57879/1/OptProjSingStateEstTAC1987.pd