AbstractA general framework is constructed upon which an explicit parametric formula can be derived for state feedback controllers containing all the possible combination of parameters. The relation between the parameters is nonlinear in general, and therefore, many different constraint may be imposed by the designer to obtain desired performance criteria. A couple of illustrative examples are presented
Tech ReportThis paper generalizes the results obtained by the authors in [1] and presents new result...
AbstractA methodology for combining multi-parametric programming and NCO tracking is presented in th...
Linear systems with magnitude and rate constraints on both the state and control variables are consi...
AbstractA general framework is constructed upon which an explicit parametric formula can be derived ...
Text includes handwritten formulasThis thesis considers the problem of zeroing the output z(t) of a ...
The control of linear multivariable systems (LMS) where only some of the state variables are directl...
PhDElectrical engineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://...
This paper presents a parametrization scheme for adaptive control of linear, multivariable systems w...
multi-input, multi-output feed-back control design for linear systems using the paradigms, theory, a...
We show, in this paper, how a classical method for feedback linearization of a multivariable inverti...
Various structural Constraints on the state feedback gain matrix, K, used in the control of a multiv...
This technical note presents a nonlinear state feedback controller for systems with linear dynamics ...
Traditional pole-placement methods for calculating state-feedback gains for multivariable regulators...
AbstractWe study the algebraic aspects of the regulator problem, using some new ideas in the state-s...
This paper presents a general computational tool for determining the near‐optimal trajectories of li...
Tech ReportThis paper generalizes the results obtained by the authors in [1] and presents new result...
AbstractA methodology for combining multi-parametric programming and NCO tracking is presented in th...
Linear systems with magnitude and rate constraints on both the state and control variables are consi...
AbstractA general framework is constructed upon which an explicit parametric formula can be derived ...
Text includes handwritten formulasThis thesis considers the problem of zeroing the output z(t) of a ...
The control of linear multivariable systems (LMS) where only some of the state variables are directl...
PhDElectrical engineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://...
This paper presents a parametrization scheme for adaptive control of linear, multivariable systems w...
multi-input, multi-output feed-back control design for linear systems using the paradigms, theory, a...
We show, in this paper, how a classical method for feedback linearization of a multivariable inverti...
Various structural Constraints on the state feedback gain matrix, K, used in the control of a multiv...
This technical note presents a nonlinear state feedback controller for systems with linear dynamics ...
Traditional pole-placement methods for calculating state-feedback gains for multivariable regulators...
AbstractWe study the algebraic aspects of the regulator problem, using some new ideas in the state-s...
This paper presents a general computational tool for determining the near‐optimal trajectories of li...
Tech ReportThis paper generalizes the results obtained by the authors in [1] and presents new result...
AbstractA methodology for combining multi-parametric programming and NCO tracking is presented in th...
Linear systems with magnitude and rate constraints on both the state and control variables are consi...