Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57877/1/OptimalProjRedOrderModeling1985.pd
In this paper, we describe some recent developments in the use of projection methods to produce redu...
AbstractA fundamental problem in control systems theory is finding a reduced order model that is opt...
Model predictive controllers use dynamics models to solve constrained optimal control problems. Howe...
Abstract-First-order necessary conditions for quadratically optimal reduced-order modeling of linear...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57880/1/DTReduced-OrderDiscrete-TimeMod...
State-optimization approach has been proposed to treating various different system problems in optim...
State-optimization approach has been proposed to treating various different system problems in optim...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57878/1/OptimalProjRedOrderStateEst1985...
AbstractThe optimal projection approach to solving the H2 reduced order model problem produces two c...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57882/1/OptProjSingularTAC1987.pd
State optimization approach has been proposed to treating various different system problems in optim...
This paper addresses a problem in control relevant model reduction. More specifically, a model reduc...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/96...
Model order reduction (MOR) is a very powerful technique that is used to deal with the increasing co...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57838/1/OptimalProjectionEquationsforRe...
In this paper, we describe some recent developments in the use of projection methods to produce redu...
AbstractA fundamental problem in control systems theory is finding a reduced order model that is opt...
Model predictive controllers use dynamics models to solve constrained optimal control problems. Howe...
Abstract-First-order necessary conditions for quadratically optimal reduced-order modeling of linear...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57880/1/DTReduced-OrderDiscrete-TimeMod...
State-optimization approach has been proposed to treating various different system problems in optim...
State-optimization approach has been proposed to treating various different system problems in optim...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57878/1/OptimalProjRedOrderStateEst1985...
AbstractThe optimal projection approach to solving the H2 reduced order model problem produces two c...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57882/1/OptProjSingularTAC1987.pd
State optimization approach has been proposed to treating various different system problems in optim...
This paper addresses a problem in control relevant model reduction. More specifically, a model reduc...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/96...
Model order reduction (MOR) is a very powerful technique that is used to deal with the increasing co...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57838/1/OptimalProjectionEquationsforRe...
In this paper, we describe some recent developments in the use of projection methods to produce redu...
AbstractA fundamental problem in control systems theory is finding a reduced order model that is opt...
Model predictive controllers use dynamics models to solve constrained optimal control problems. Howe...
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