In this paper, a fuzzy model predictive control (FMPC) strategy is proposed to regulate the output variables of a coagulation hemical dosing unit. A multiple-input, multiple-output (MIMO) process model in form of a linearised Takagi–Sugeno (T–S) fuzzy odel is derived. The process model is obtained through subtractive clustering from the plant’s data set. The MIMO model is escribed by a set of c...

This paper combines a conventional method of multivariablesystem identification with a dynamic multi-layer perceptron (MLP) toachieve a constructive method of nonlinear system identification. Theclassof nonlinear systems is assumed to operate nominally around anequilibrium point in the neighborhood of which a linearized model existsto represent the system, although norma...

Fifth-generation (5G) cellular systems will build on massive multi-user (MU) multiple-input multiple-output (MIMO) technology to attain high spectral efficiency. However, having hundreds of antennas and radio-frequency (RF) chains at the base station (BS) entails prohibitively high hardware costs and power consumption. This paper proposes a novel nonlinear precoding algorithm for the massive MU...

The dynamic characteristics of a controller designed by the gain-scheduling approach can be strongly dependent on the realisation adopted; that is, the manner in which the local linear controller designs are combined to obtain a nonlocal controller. The purpose of the present paper is to investigate the choice of appropriate realisations for general MIMO gain-scheduled controllers. An extended ...

A general class of MIMO nonlinear systems with unknown inputs is considered with a view to observer synthesis. The particularity of this class of systems lies in the fact that the expression of the outputs depends on the unknown inputs. Different situations are considered and in each case a nonlinear observer, synthesized under appropriate hypotheses, is proposed to jointly estimate all state v...

This work presents the development of mathematical model of a mobile manipulator and its use to develop a controller based on backstepping nonlinear control and the computed torque control law. This MIMO nonlinear controller was implemented on the Robot Operating System (ROS) environment. The mobile robot is based on the Barrett WAM (Whole Arm Manipulator) and a custom build mobile platform. Th...

Relaying (1–3) has been considered as a paradigm for improving the quality of service (i.e., bit-error-rate, data rate and coverage) in wireless networks. In this work, we study a two-hop relay channel in which each node can have multiple antennas. It is well-known that utilizing multiple-input multiple-output (MIMO) links can significantly improve the transmission rate (see e.g. (4; 5) and ref...

It is the fact that the bandwidth of wireless communication system is such a limited resource that several techniques are selectively applied to increase the bandwidth e ciency. The highest bandwidth e ciency can be taken by applying Multi-User MultipleInput Multiple-Output (MU-MIMO) technique. For this technique, the complexity of detection is rapidly increased by increasing the number of user...

The objective of this study is to design a robust direct model reference adaptive controller (DMRAC) for a nonlinear cardiovascular model over a range of plant parameters representing a variety of physical conditions. The direct adaptive controllers used in thisd study require the plant to be almost strictly positive real (ASPR) that is, for a plant to be controlled there must exist a feedback ...

In this paper, the problem of target detection in phased-MIMO radars is considered and target detection performance of phased-MIMO radars is compared with MIMO and phased-array radars. Phased-MIMO radars combine advantages of the MIMO and phased-array radars. In these radars, the transmit array will be partitioned into a number of subarrays that are allowed to overlap and each subarray transmit...