Multi-input multi-output (MIMO) dynamic matrix control (DMC) technique is applied to control steam temperatures in a large-scale ultrasupercritical once-through boiler–turbine system. Specifically, four output variables (i.e., outlet temperatures of platen superheater, finish superheater, primary reheater, and finish reheater) are controlled using four input variables (i.e., two spray valves, b...

One of the most important challenges in nonlinear, multi-input multi-output (MIMO) and time variant systems (e.g., robot manipulator) is designing a controller with acceptable performance. This paper focused on design a new artificial non linear controller with on line tunable gain applied in the robot manipulator. The sliding mode fuzzy controller (SMFC) was designed as 7 rules Mamdani’s infer...

One of the most important challenges in nonlinear, multi-input multi-output (MIMO) and time variant systems (e.g., robot manipulator) is designing a controller with acceptable performance. This paper focused on design a new artificial non linear controller with on line tunable gain applied in the robot manipulator. The sliding mode fuzzy controller (SMFC) was designed as 7 rules Mamdani’s infer...

This is a tutorial article presenting comparison between single input single output and multi input multi output wireless channel. We have compared Shannon ergodic capacity of SISO link and its different realizations with MIMO wireless channel. It is shown that wireless channel capacity increases linearly with the increase of multiple antennas both at transmitter and receiver. MIMO wireless lin...

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...

This paper examines the diversity technique of receivers in convolutionally encoded MIMO (Multi-Input Multi-Output) systems. We have proposed W-EP (Weighting-by Eigenvalue Power) soft-decision decoder in 2x2 encoded MIMO systems, confirmed that the weighting factor based on the eigenvalue of channel matrix has a significant effect on BER (Bit Error Rate) performances [1]. On the other hand, lar...

This paper presents a computationally efficient solution for constraint management of multi-input and multi-output (MIMO) systems. The solution, referred to as the Decoupled Reference Governor (DRG...

The topic of this work is channel estimation for multi-input multi-output (MIMO) systems with very coarse signal quantization at the receiver. While coarse quantization of the received signal may only have a small to moderate impact on the channel capacity of MIMO systems, it is, however, necessary for the receiver to know the MIMO channel matrix. This motivates to study possible ways of estima...

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...