State Feedback Control Design for Input-output Decoupling of Boolean Control Networks
A state feedback control strategy is proposed for input-output (IO) decoupling of a class of fully output controllable Boolean control networks (BCNs). Some necessary and sufficient conditions for BCN IO-decoupling are presented. As an instrumental tool in our design, we introduce a canonical form for IO-decoupled BCNs along with some conditions guaranteeing its existence. Finally, two numerical examples are provided to illustrate the effectiveness of the proposed approach.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Using dynamic extensions for the backstepping control of hyperbolic systems
This paper systematically introduces dynamic extensions for the boundary control of general heterodirectional hyperbolic PDE systems. These extensions, which are well known in the finite-dimensional setting, constitute t…
Robust Output Feedback Control Design in the Presence of Sporadic Measurements
Output feedback control design for linear time-invariant systems in the presence of sporadic measurements and exogenous perturbations is addressed. To cope with the sporadic availability of measurements of the output, a …
Policy Gradient Methods for Designing Dynamic Output Feedback Controllers
This paper proposes model-based and model-free policy gradient methods (PGMs) for designing dynamic output feedback controllers for discrete-time partially observable systems. To fulfill this objective, we first show tha…
Policy Gradient MethodsNotes on data-driven output-feedback control of linear MIMO systems
Recent works have approached the data-driven design of dynamic output-feedback controllers for discrete-time LTI systems by constructing non-minimal state vectors composed of past inputs and outputs. Depending on the sys…
Data-driven control of nonlinear systems from input-output data
The design of controllers from data for nonlinear systems is a challenging problem. In a recent paper, De Persis, Rotulo and Tesi, "Learning controllers from data via approximate nonlinearity cancellation," IEEE Transact…