The steady-state control of multivariable nonlinear discrete-time, time-invariant systems in the presence of arbitrary unmeasurable but bounded disturbances is addressed in this paper. The pseudoinverse model approach as a unified concept to cope with possible noninvertibility and to achieve a desired behavior of a wide class of both linear and of nonlinear multi-input multi-output square and a...

In the field of control theory system identification is an important way of investigating and understanding the system. Several distinct approaches of system identification produce the different form of knowledge about the system. In system identification, neural network plays an important role. A novel technique has been considered to identify the nonlinear multi input multi output (MIMO) cros...

We present an extension of Willems' Fundamental Lemma to the class multi-input multi-output discrete-time feedback linearizable nonlinear systems, thus providing a data-based representation their input-output trajectories. Two sources uncertainty are considered. First, unknown linearizing input is inexactly approximated by set basis functions. Second, measured output data contaminated additive ...

The pooling problem is a nonconvex nonlinear programming problem with numerous applications. The nonlinearities of the problem arise from bilinear constraints that capture the blending of raw materials. Bilinear constraints are well-studied and significant progress has been made in solving large instances of the pooling problem to global optimality. This is due in no small part to reformulation...

We report the simulation results for impact of nonlinear Kerr effect on band structures of a ‎two dimensional photonic crystal (2D-PhC) with no defect, a PhC based W1-waveguide ‎‎(W1W), and also Coupled-Cavity Waveguides (CCWs). All PhC structres are assumed to a ‎square lattice of constant a made of GaAs rods of radius r=0.2a, in an air background. The ‎numerical simulation was performed using...

The Takagi-Sugeno (T-S) fuzzy multiple-variable integral control system with fuzzy state observer is designed for the coordinated control of multi-input-multi-output (MIMO) nonlinear boilerturbine system whose operating points vary within a wide range. Linear models are first derived from the original nonlinear model on several operating points. Next the fuzzy multi-variable integral controller...

This paper highlights the role of the rank of a differential one-form in the solution of such nonlinear control problems via measurement feedback as disturbance decoupling prob­ lem of multi-input single output (MISO) systems. For the later problem, some necessary conditions and sufficient conditions are given.

In this paper, both the architecture and learning procedure underlying the parallel layer perceptron is presented. This topology, di1erent to the previous ones, uses parallel layers of perceptrons to map nonlinear input–output relationships. Comparisons between the parallel layer perceptron, multi-layer perceptron and ANFIS are included and show the e1ectiveness of the proposed topology. c © 20...

Observability is a fundamental structural property of any dynamic system and describes the possibility reconstructing state that characterizes from fusing observations its inputs outputs. Despite effort made to study this introduce analytical criteria capable verifying whether or not satisfies property, there no general criterion obtain observability when dynamics are also driven by unknown inp...

A Fault-Tolerant Control (FTC) methodology has been presented for nonlinear processes being imposed by control input constraints. The proposed methodology uses a combination of Feedback Linearization and Model Predictive Control (FLMPC) schemes. The resulting constraints in the transformed process will be dependent on the actual evolving states, making their incorporation in the de...