If a system has more than one input or output, it is called multi-input/multi-output (MIMO) or multivariable. The poles for multivariable systems are defined the same as for single-input/single/output (SISO) systems. On the other hand, for MIMO systems, there are several kinds of zeros and the discussion of zeros is complex. A complete treatment is given in terms of the Smith and McMillan forms...

Multi-user multi-input multi-output (MIMO) system has been attracting much attention due to its high spectrum efficiency. Nonlinear MIMO signal detection methods with less computational complexity have been widely studied for single-user MIMO systems. In this paper, we investigate how a lattice reduction (LR)-aided detection and a maximum likelihood detection (MLD) employing the QR decompositio...

In this study, a Multi-Objective Genetic Algorithm (MOGA) is utilized to extract interpretable and compact fuzzy rule bases for modeling nonlinear Multi-input Multi-output (MIMO) systems. In the process of nonlinear system identification, structure selection, parameter estimation, model performance and model validation are important objectives. Furthermore, securing low-level and high-level int...

Design of Multi-Input Multi-Output (MIMO) Homogeneous Sliding Modes (HSMs) for uncertain dynamic systems is considered. The resulting closed-loop systems feature all well-known standard properties of Single-Input Single-Output (SISO) HSM systems. Introduction of robust exact differentiators produces homogeneous output-feedback controllers. The ultimate asymptotic accuracy of SISO HSM technique ...

In this paper, the robust tracking control scheme is proposed for a class of uncertain multi-input and multi-output (MIMO) nonlinear systems with input saturation and unknown external disturbance based on the recurrent wavelet neural network disturbance observer (RWNNDO) and the backstepping technique. And then, the developed robust tracking control scheme is applied to an unmanned aerial vehic...

This paper considers output estimator based fault detection problem for a class of nonlinear systems with unknown system parameters. Because observer design for such systems is extremely difficult if not impossible, output estimator design is used for the purpose of fault detection. In order to achieve output estimator design using adaptive approaches, a multi-input multi-output (MIMO) nonlinea...

This paper evaluates a new and simple controller design method based on QFT (quantitative feedback theory) for a two-link manipulator whose first link is rigid and the second is flexible. A piezoelectric patch is attached to the surface of the flexible link for vibration suppression of it. This system is modeled as a nonlinear multi-input multi-output (MIMO) control systems whose inputs are two...