Finite Time Setting Adaptive Observer for Multi-Input Multi-Output Systems

Functional Adaptive Control for Multi-Input Multi-Output Systems

A functional adaptive control for nonlinear stochastic systems with Multi-Input Multi-Output is suggested. The systems are modelled using a multilayer perceptron networks. Parameters of the model are estimated by the Gaussian sum method which allows to determine conditional probability density functions of the network weights. Control design is based on bicriterial dual approach that use two se...

Testing Real-Time Multi Input-Output Systems

In formal testing, the assumption of input enabling is typically made. This assumption requires all inputs to be enabled anytime. In addition, the useful concept of quiescence is sometimes applied. Briefly, a system is in a quiescent state when it cannot produce outputs. In this paper, we relax the input enabling assumption, and allow some input sets to be enabled while others remain disabled. ...

Finite-time Flocking of Multi-agent System with Input Saturation

In this paper a finite-time flocking of multi-agent system with input saturation is investigated. By introducing a new control protocol, it is show that speed and position of agents with double-integrator dynamics converge to the speed and position of leader in finite time. It is assumed that the graph between the agents is connected and that at least one agent is informed of the leader speed a...

Nonlinear disturbance observer-based control for multi-input multi-output nonlinear systems subject to mismatching condition

The finite-length multi-input multi-output MMSE-DFE

A new theoretical framework is introduced for analyzing the performance of a finite-length minimum-mean-squareerror decision feedback equalizer (MMSE-DFE) in a multi-input multi-output (MIMO) environment. The framework includes transmit and receive diversity systems as special cases and quantifies the diversity performance improvement as a function of the number of transmit/receive antennas and...