Multi-joint manipulator systems are subject to nonlinear influences such as frictional characteristics, random disturbances and load variations. To account for uncertain in the operation of manipulators, we propose an adaptive control method based on a multi-joint fuzzy system, which upper bound information system is constant state variables measurable. The algorithm MIMO (multi-input-multi-out...

Necessary and sufficient conditions for a class of dissipative nonlinear multiinput multi-output discrete-time systems are given. The conditions existing in the literature, addressed as Kalman-Yakubovich-Popov conditions, for the dissipative, passive or lossless cases, are derived from the proposed dissipativity characterization. Feedback passivity is solved for a class of multi-input multi-out...

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...

We consider multiplexing systems in correlated multiple-input multiple-output (MIMO) fading channels with equal power allocated to each transmit antenna. Under several constraints, the number and subset of transmit antennas together with the transmit symbol constellations are determined assuming knowledge of the channel correlation matrices. The maximum outage data rate of the SCR receiver is s...

In recent years, Multi-Input Multi-Output (MIMO) communications are introduced as an emerging technology to offer significant promise for high data rates and mobility required by the next generation wireless communication systems. Using multiple transmit as well as receive antennas, a MIMO system exploits spatial diversity, higher data rate, greater coverage and improved link robustness without...

In this paper, we address the problem of adaptive neural control for a class of multi-input multi-output (MIMO) nonlinear time-delay systems in block-triangular form. Based on a neural network (NN) online approximation model, a novel adaptive neural controller is obtained by constructing a novel quadratictype Lyapunov–Krasovskii functional, which not only efficiently avoids the controller singu...

A higher order sliding fuzzy type-2 controller scheme for an nth order multi-input multi-output (MIMO) nonlinear uncertain perturbed systems is proposed in the paper. To overcome the constraint on the knowledge of the system model, local models related to some operating points were used to synthesize a nominal fuzzy type-2 global model. The controller uses integral sliding mode concept and cont...

This paper deals with the problem of robust adaptive controller design for a class of Multi-Input and Multi-Output (MIMO) time delay uncertain systems based on backstepping method and fuzzy logical system (FLS). This problem aims at designing robust adaptive controller for all parameter uncertainties and time delay of MIMO system with backstepping method. This studied system consists of some su...

We address the capacity limits of sizeconstrained multi-input multi-output (MIMO) arrays. While most work on MIMO focuses on arrays with of a small number of sufficiently spaced, low correlated antenna elements, we look at the case where a fixed small space is being filled up with antenna elements. We obtain a dense MIMO system whose rate performance is analyzed. We establish capacity limits an...