Takagi–Sugeno (TS) fuzzy models can provide an effective representation of complex nonlinear systems in terms of fuzzy sets and fuzzy reasoning applied to a set of linear inputoutput submodels. In this paper, the TS fuzzy modeling approach is utilized to carry out the stability analysis and control design for nonlinear systems with actuator saturation. The TS fuzzy representation of a nonlinear...

We provide a dual perspective on technical efficiency evaluation, in two respects. First, we build on the price assumptions implicitly associated with the notion of technical efficiency in a general equilibrium framework to characterize a set of appropriate references to be used in the technical efficiency evaluation of an inputoutput vector. Some existing evaluation methods always select an el...

Selecting the order of an input-output model of a dynamical system is a key step toward the goal of system identification. By determining the smallest regression vector dimension that allows accurate prediction of the output, the false nearest neighbors algorithm (FNN) is a useful tool for linear and also for nonlinear systems. The one parameter that needs to be determined before performing FNN...

We consider the discrete-time Gaussian channel with inter-symbol interference (ISI). Under the assumption of perfect feedback, an information-theoretic derivation of the minimum mean-squared error (MMSE) decision-feedback equalizer (DFE) is presented. Whereas previous works have used information theory to analyze the zero-forcing and MMSE DFE structures, this work derives the MMSE DFE directly ...

This paper deals with a new approach to detect the structure (i.e. determination of the number of hidden units) of a feedforward neural network (FNN). This approach is based on the principle that any FNN could be represented by a Volterra series such as a nonlinear inputoutput model. The new proposed algorithm is based on the following three steps: first, we develop the nonlinear activation fun...

We study machine learning formulations of inductive program synthesis; that is, given input-output examples, synthesize source code that maps inputs to corresponding outputs. Our key contribution is TERPRET, a domain-specific language for expressing program synthesis problems. A TERPRET model is composed of a specification of a program representation and an interpreter that describes how progra...

Interaction measures quantify the input-output relations in MIMO processes and can support the selection of control structures (CSS). Interaction measures are typically computed based on an existing process models. The study of inputoutput interactions based on data can complement missing information on a model, e.g., revealing unknown relations in a complex system or adjusting for a time depen...

Microscopic simulation tools have been gaining popularity among the traffic engineers. Enhanced inputoutput capabilities of these simulation tools allow engineers model and simulate complex transportation networks, and gather results relatively fast. However, extensive validation/calibration efforts are required to verify the credibility of the results of these simulation models. This paper dea...

Control contact systems represent controlled (or open) irreversible processes which allow to represent simultaneously the energy conservation and the irreversible creation of entropy. Such systems systematically arise in models established in Chemical Engineering. The differential-geometric of these systems is a contact form in the same manner as the symplectic 2-form is associated to Hamiltoni...

In the light of the latest results concerning the synaptic paired pulse depression, facilitation [Thomson et al., 1993 a,b,c], its effects on long term potentiation (LTP) and depression (LTD) [Markram et al., 1996], and spike frequency adaptation, the question how the neurons communicate and what are meaningful signals in the neural information processing has to be reconsidered. Modeling these ...