In this paper we consider the class of infinite-dimensional discrete-time linear systems with multiplicative random disturbances (i.e. with states multiplied by a random sequence), also known as stochastic bilinear systems. We obtain necessary and sufficient conditions, in terms of an algebraic Riccati-like operator equation, for existence of a state-feedback controller that stabilizes the system and ensures that the influence of the additive disturbance on the output is smaller than some prespecified bound. In a deterministic framework this problem is equivalent to the H1-control problem in a state-space formulation. Our results, when specialized to the case with no multiplicative random disturbance, reduces to the ones known for the deter...
We deal with nonlinear dynamical systems, consisting of a linear nominal part perturbed by model unc...
This paper is concerned with the algorithms which solve H2/H∞ control problems of stochastic systems...
International audienceThis paper discusses an extension of our earlier results about state feedback ...
In this paper we consider discrete-time, linear stochastic systems with random state and input matri...
AbstractIn this paper we consider the full information discrete-timeH∞-control problem for the class...
AbstractMean square stability conditions for discrete-time bilinear systems operating in a stochasti...
Abstract: In this paper, the purpose is to design a filter for a stochastic bilinear system which sa...
Summarization: General linear continuous stochastic systems are considered with multiplicative noise...
This paper is concerned with the stochastic H∞ state feedback control problem for a class of discret...
Symbolic approaches for control design construct finite-state abstract models that are related to th...
Symbolic approaches to the control design over complex systems employ the construction of finite-sta...
Abstract. Symbolic approaches to the control design over complex systems employ the construction of ...
This paper presents some studies on partially observed linear quadratic Gaussian (LQG) models where ...
This paper is concerned with the long-standing problems of linear quadratic regulation (LQR) control...
Copyright [2002] IEEE. This material is posted here with permission of the IEEE. Such permission of ...
We deal with nonlinear dynamical systems, consisting of a linear nominal part perturbed by model unc...
This paper is concerned with the algorithms which solve H2/H∞ control problems of stochastic systems...
International audienceThis paper discusses an extension of our earlier results about state feedback ...
In this paper we consider discrete-time, linear stochastic systems with random state and input matri...
AbstractIn this paper we consider the full information discrete-timeH∞-control problem for the class...
AbstractMean square stability conditions for discrete-time bilinear systems operating in a stochasti...
Abstract: In this paper, the purpose is to design a filter for a stochastic bilinear system which sa...
Summarization: General linear continuous stochastic systems are considered with multiplicative noise...
This paper is concerned with the stochastic H∞ state feedback control problem for a class of discret...
Symbolic approaches for control design construct finite-state abstract models that are related to th...
Symbolic approaches to the control design over complex systems employ the construction of finite-sta...
Abstract. Symbolic approaches to the control design over complex systems employ the construction of ...
This paper presents some studies on partially observed linear quadratic Gaussian (LQG) models where ...
This paper is concerned with the long-standing problems of linear quadratic regulation (LQR) control...
Copyright [2002] IEEE. This material is posted here with permission of the IEEE. Such permission of ...
We deal with nonlinear dynamical systems, consisting of a linear nominal part perturbed by model unc...
This paper is concerned with the algorithms which solve H2/H∞ control problems of stochastic systems...
International audienceThis paper discusses an extension of our earlier results about state feedback ...