It is usually difficult to design a controller for nonlinear multiple-input and multiple-output (MIMO) system. The methodological approach taken in this study mixed methodology based on PID-type internal model control (IMC) method neural network (NN) optimization algorithm. NN designed adjusting the sole parameter IMCPID compensating characteristic changes non-linearity stepless flow control. I...

This paper deals with an MIMO feedback control system that has two channels with additive noise and studies the effects of the noise on the input and output signals of the plant. We derive integraltype limitations for sensitivity-like properties of the feedback system based on an information theoretic approach. It is shown that they are generalizations of Bode’s integral formula for the case th...

We present adaptive neural control design for a class of perturbed nonlinear MIMO time-varying delay systems in a block-triangular form. Based on a neural controller, it is obtained by constructing a quadratic-type Lyapunov-Krasovskii functional, which efficiently avoids the controller singularity. The proposed control guarantees that all closed-loop signals remain bounded, while the output tra...

This paper describes a new procedure to design robust H∞ controller with time domain specifications and a fault detection method for MIMO system. Controller design parameters and fault detection method are calculated solving multi-objective optimization problems which are based on genetic algorithms. Simulations tests are carried out to evaluate our design procedure, and satisfactory simulation...

In this paper, we consider input-affine invertible MIMO nonlinear systems which can be transformed into a special normal form by means of the structure algorithm. The normal form highlights a partial state, a subset of state variables, which plays in this setting a role similar to that of the outputs and its derivatives in a SISO system. It is shown that, if a system in this class can be asympt...

Analyzing health conditions using sensors is one of the daily activities in a healthcare organization. The purpose of this research is to improve the e-healthcare formulated through the integration of wearable smart sensors and miniaturized devices. In this research, monitoring glucose level of the diabetic is considered as an example of the non-linear problem in which we show that accuracy and...