This paper provides a tutorial overview of reference governors and command governors,
which are add-on control schemes for reference supervision and constraint enforcement in …

This paper presents a review of past and present results and approaches in the area of
motion planning using MIP (Mixed-integer Programming). Although in the early 2000s MIP …

Active fault diagnosis (AFD) can be used to improve the diagnosability of faults by injecting a
suitably designed input into a process. When faults are described as discrete switches …

This paper proposes a novel asymptotic online robust active fault diagnosis (AFD)
framework for discrete linear time-invariant (LTI) systems using a bank of set-valued …

This paper focuses on designing, via the minimization of a suitable cost function, an input
sequence to guarantee active fault diagnosis (AFD) of discrete-time linear parameter …

This article focuses on the design of online optimal input sequence for robust active fault
diagnosis of discrete-time linear parameter-varying systems using set-theoretic methods …

This paper proposes a robust fault detection and isolation (FDI) approach that combines
active and passive robust FDI approaches. Standard active FDI approaches obtain …

The fault diagnosis module is a key component integrated in active fault-tolerant control
systems. However, the classical methods usually design fault diagnosis and control …

This paper designs observer gains to optimize the minimal robust positively invariant set and
uses this set for robust fault detection. First, the sizes of the minimal robust positively …

In this book, the authors propose efficient characterizations of the non-convex regions that
appear in many control problems, such as those involving collision/obstacle avoidance and …