In this paper, design issues of data-driven optimal dynamic fault detection systems for
stochastic linear discrete-time processes are addressed without precise distribution …

This article investigates stochastic invariance for control systems through probabilistic
controlled invariant sets (PCISs). As a natural complement to robust controlled invariant sets …

This letter proposes a two-step interval estimation method for discrete-time switched linear
systems with unknown but bounded uncertainties. Based on the ellipsoidal analysis, the …

Design of output feedback controllers applied to the regulation problem for constrained
linear discrete-time systems via set-invariance techniques is studied. Output feedback …

In this paper we revisit the problem of finding an equivalent inverse optimality formulation to
a given linear model predictive control (MPC) problem using the technique of inverse …

This paper analyses control performance and energy savings reached by application of four
robust control approaches implemented on the laboratory plate heat exchanger. The output …

This paper addresses the problem of construction of the tunable robust positive invariant
sets in the framework of convex-lifting-based robust control. Moreover, the paper introduces …

In this paper, a novel output feedback anti-disturbance control method is carried out for a
class of nonlinear systems subject to non-harmonic multisource disturbances. By using a …

This paper is concerned about the problem of observer-based finite-time boundedness
(OBFTB) of Itô stochastic Markov jump systems (MJSs) with external disturbances and time …

Uncertainties and constraints are present in most control systems. For example, robot motion
planning and building climate regulation can be modeled as uncertain constrained systems …