We investigate basic properties of the set of observer-based state-space compensators (OBCs). In particular, we are interested in how much of this set is occupied by its OBC members. We examine both classical OBCs and generalized OBCs, as developed in [D. Cobb, SIAM J. Control Optim., 50 (2012), pp. 1921–1949]. We perform our analysis for both real and complex compensators. In every case, we sh...

Classical planning deals with finding a (shortest) sequence of actions transferring the world from its initial state to a state satisfying the goal condition. Traditional planning systems explore either paths in the state space (state-space planning) or partial plans (plan-space planning). In this paper we show how the ideas from plan-space (partial order) planning can be integrated into state-...

H∞ preview control and fixed-lag smoothing problems are solved in general discrete time linear systems, via a reduction to equivalent open loop differential games. To prevent high order Riccati equations, found in some solutions, the state of the Hamilton-Jacobi system (HJS) resides in a quotient space of an auxiliary extended state space system. The dimension of that auxiliary space is equal t...

This note develops a technique for designing diagonalizing compensators based on state-space descriptions. The relationship with stable decoupling invariants is also explored. @ 1997 Elsevier Science B.V.

This paper describes algorithms for generating shapes of side actions to minimize a customizable injection molding cost function. Given a set of undercut facets on a polyhedral part and the main mold opening directions, our approach works in the following manner. First, we compute candidate retraction space for every undercut facet. This space represents the set of candidate translation vectors...

This master thesis, builds on the contributions by Ejsing et al. (2012) and Dubecq et al. (2013) to shed light on the credit and liquidity risk components of sovereign bond yields. Four countries have been studied: France, the Netherlands, Germany and Spain. The task has been faced by considering several state-space models, all of them connected by the idea that the differences in the yields be...

An automatic monitoring and intervention algorithm that permits the supervision of very general aspects in an univariate linear gaussian state space model is proposed. The algorithm makes use of a model comparison and selection approach within a Bayesian framework. In addition, this algorithm incorporates the possibility of eliminating earlier interventions when subsequent evidence against them...

This paper discusses a planner of the semantics of utterances, whose essential design is an epistemic theorem prover. The planner was designed for the purpose of planning communicative actions, whose effects are famously unknowable and unobservable by the doer/speaker, and depend on the beliefs of and inferences made by the recipient/hearer. The fully implemented model can achieve goals that do...

Increasing interest has been devoted to Planning as Heuristic Search over the years. Intense research has focused on deriving accurate heuristics in polynomial computational time for domain-independent planning. This paper reports on an extensive survey and analysis of research work related to heuristic derivation techniques for state space search planning, as well as other planning paradigms. ...

This paper proposes a domain independent heuristic for state space planning, which is based on action evaluation. The heuristic obtains estimates for the cost of applying each action of the domain by performing a forward search in a relaxed version of the initial problem. The estimates for the actions are then utilized in a backward search on the original problem. The heuristic, which has been ...