Francisco Casiello

• Doctor of Philosophy
• Pontifical Catholic University of Argentina

This article describes the acceptance and development of multi-modal systems thinking in Argentina in the last 5 years, both in theory and in practice. On the theoretical side, we show the efforts made to provide compatible epistemological doctrines for different modalities, starting with ethics and aesthetics. This took place first through the phe...

This paper intends to show how multimodal system methodology can be interpreted as a metamethodology that can house different specific methodologies to be used in action-research.

The discrete-time version of the entropy formulation of optimal control of problems developed by G.N. Saridis (1988) is discussed. Given a dynamical system, the uncertainty in the selection of the control is characterized by the probability distribution (density) function which maximizes the total entropy. The equivalence between the optimal contro...

The problem is discussed of finding a cost functional for which an adaptive control law is optimal. The system under consideration is a partially observed linear stochastic system with unknown parameters. It is well known that an optimal finite-dimensional filter for this problem can be derived when the parameters belong to a finite set. Since the...

This paper deals with the optimal control of unknown parameter, partially observed linear discrete time systems. The objective of the paper is to find a suitable cost functional for which passive learning controllers are optimal. It is shown that if there are parameter uncertainties in the observation equation, then a quadratic functional can be fo...

The present paper describes the preliminary design of a data acquisition and control system for a nuclear reactor. The RA-3 (Argentine Reactor 3) is a 6 MW (thermal) water-pool type of reactor that is used for radioisotope irradiation and as a research facility. It is located in Ezeiza, Argentina.

An examination is made of the problem of estimating the state of linear stochastic plant with unknown parameters taking values in a finite set. Stochastic stability theory is used to establish conditions under which the a posteriori probabilities defined on a finite parameter set converge almost surely, both in continuous and discrete time. An exam...

Given a linear system dot{x} = Ax + Bu , where A and B are n times n and n times m matrices, with m leq n and B is of full rank, Farlow's theorem in the paper gives a necessary condition for the existence of coefficients for nm rectangular pulse functions that constitute the control vector, so that the state of the system is driven to zero in a fin...

This paper addresses the problem of control of partially observed linear discrete time stochastic systems with unknown parameters taking values in a finite set. The solution approach is based on a decomposition of the cost function into a control and trajectory component and a dual or learning component. Similarly the control policy is decomposed i...