The problem of causal inference is to determine if a given probability distribution on
observed variables is compatible with some causal structure. The difficult case is when the …

This paper presents new results that allow one to compute the set of states that can be
robustly steered in a finite number of steps, via state feedback control, to a given target set …

This paper presents a method for generating dynamically feasible, keyframe-interpolating
motions for robots undergoing contact, such as in legged locomotion and manipulation. The …

We propose to apply artificial intelligence approaches in a warm-starting procedure to
accelerate active set methods that are used to solve strictly convex quadratic programs in …

Feedback control of robotic systems interacting with the environment through contacts is a
central topic in legged robotics. One of the main challenges posed by this problem is the …

Within the framework of generalized noncontextuality, we introduce a general technique for
systematically deriving noncontextuality inequalities for any experiment involving finitely …

A common way to produce a convex relaxation of a Mixed Integer Quadratically Constrained
Program (MIQCP) is to lift the problem into a higher-dimensional space by introducing …

A fundamental problem in automatic control is the control of uncertain and/or timevarying
plants with input and state or output constraints. Most elegantly, and theoretically most …

In this paper we present a framework to efficiently characterize the available operational
flexibility in a multi-area power system. We focus on the available reserves and the tie-line …

This two-part paper develops a non-iterative coordinated optimal dispatch framework, ie,
free of iterative information exchange, via the innovation of the equivalent projection (EP) …