This paper presents a consensus-based robust cooperative control framework for a wide class of linear time-invariant (LTI) systems, namely Negative-Imaginary (NI) systems. Output feedback, dynamic, Strictly Negative-Imaginary (SNI) controllers are applied in positive feedback to heterogeneous multi-input-multi-output (MIMO) plants through the network topology to achieve robust output feedback c...

In this paper, we propose a novel adaptive reducedrank strategy for very large multiuser multi-input multi-output (MIMO) systems. The proposed reduced-rank scheme is based on the concept of joint iterative optimization (JIO) of filters according to the minimization of the bit error rate (BER) cost function. The proposed optimization technique adjusts the weights of a projection matrix and a red...

In this paper, we propose an iterative detection and decoding (IDD) scheme for the uplink of coded multiuser multiple-input multiple-output (MU-MIMO) systems. The structure of the proposed soft-input soft-output (SISO) iterative (turbo) scheme is based on a multi-branch lattice reduction successive interference cancellation (MB-LR-SIC) strategy that computes in the first iteration a reliable ex...

With the integration of Internet and multimedia applications in next generation wireless communications, the demand for wide-band high data rate communication services is growing. In recent years, multiple transmitter and receiver antennas are employed in the wireless communications systems to adapt various demands of high speed wireless links and improved signal to noise ratio . In order to ta...

In order to effectively control the multi-input multi-output (MIMO) characteristics of a boiler-turbine unit Fuzzy model predictive control (FMPC) has been previously applied successfully. An important step in the FMPC design is the partitioning (also called the design of the antecedent rules). In this work it is shown that by exploiting the plant characteristics and by using suitable metrics o...

Symbol detection in multi-input multi-output (MIMO) communication systems using different particle swarm optimization (PSO) algorithms is presented. This approach is particularly attractive as particle swarm intelligence is well suited for real-time applications, where low complexity and fast convergence is of absolute importance. While an optimal maximum likelihood (ML) detection using an exha...

We study the recently introduced notion of output–input stability, which is a robust variant of the minimum-phase property for general smooth nonlinear control systems. This paper develops the theory of output–input stability in the multi-input, multi-output setting. We show that output–input stability is a combination of two system properties, one related to detectability and the other to left...

— The paper is concerned with the application of probability theory to Multi-Input Multi-Output (MIMO) transmission systems. We provide a theoretical formula to compute the error rate in such systems. Furthermore, analysis of this formula shows that simulation results are not reliable at high SNR. Finally, we provide an expression to compute the relative precision of the simulation results. Thi...

Very few technologies have shown as much impact on the trajectory of evolution of wireless communication systems as multiple input multiple output (MIMO) systems. MIMO systems have already been employed in the existing 802.11n and 802.16e standards resulting in a huge leap in their achievable rates. A relatively recent idea of extending the benefits of MIMO systems to multi-user scenarios seems...