a memory control for t-s fuzzy discrete-time systems with sto- chastic input delay is proposed in this paper. dierent from the common assumptions on the time delay in the existing literatures, it is assumed in this paper that the delays vary randomly and satisfy some probabilistic dis- tribution. a new state space model of the discrete-time t-s fuzzy system is derived by introducing some stocha...

In this paper we consider the problem of estimating discrete variables in a class of hybrid systems where we assume that the continuous variables are available for measurement. Using lattice and order theory we develop a framework for constructing a discrete state estimator on an enlarged space of variables with lattice structure, which updates only two variables at each step. We apply our idea...

When a hybrid Bayesian network has conditionally deterministic variables with continuous parents, the joint density function for the continuous variables does not exist. Conditional linear Gaussian distributions can handle such cases when the continuous variables have a multi-variate normal distribution and the discrete variables do not have continuous parents. In this paper, operations require...

n optimization problem involves fi nding the best value of an objective function or fi gure of merit—the value that optimizes the function. If the set of options is fi nite in number, then the problem is discrete. If the value of the objective function is uncertain because of measurement noise or some other source of random variation, the problem is stochastic. Mathematically, the discrete opti...

1 Problem Formulation Last two weeks we discussed controller synthesis for: Discrete systems: design characterized by a xed point of a diierence equation. Continuous systems: design characterized by xed point of a partial diierential equation. In either case the solution is characterized as a xed point of an equation, which we refer to as the Hamilton-Jacobi equation. Today, we bring the discre...

This research effort focuses on the acquisition of polyhedral outer-approximations to the convex hull of feasible solutions for mixed-integer linear and mixed-integer nonlinear programs. The goal is to produce desirable formulations that have superior size and/or relaxation strength. These two qualities often have great influence on the success of underlying solution strategies, and so it is wi...