A New Design of Internal Model Controller for SISO and MIMO Systems| Book Publisher International

 The studies of the Internal Model Control (IMC) structure of continuous and discrete multivariable dynamical systems are the main subject of the works included in this book. It is well known that the internal model control structure is reliable and enables taking into account the impacts of both modelling errors and outside disruptions. The corrector's straightforward synthesis, ease of implementation, and explicit robustness adjustment are its key benefits. The limitations of this structure's application, which is limited to stabilised or open-loop systems, are principally related to the requirement that the controller be stable and practical.

In this structure, the task of creating an inverse model of the system to be controlled serves as the crux of the controller synthesis. Additionally, it is frequently impossible to achieve the perfect inversion of the exact model, especially for nonlinear systems, when the model can present sub-models with non-minimum phases or modelling delays, when the order of the numerator is lower than that of the denominator, when the input number is higher than the output number, and in other situations. The internal model method to controller synthesis suggested in this book is based on a particular inversion applied at the LARA Laboratory to square SISO and MIMO systems. To achieve a potential model inversion in the situation of non-square MIMO systems, this approach has been modified in the first phase.  In the second step, we will create a model inversion technique based on the "virtual outputs" and "virtual inputs" approach for this class of non-square dynamical systems. Both MIMO systems with low and non-minimal phase delays can benefit from this inversion strategy. The achieved internal model controller exhibits good control and robustness characteristics, is straightforward, has a small number of tuning parameters, and is simple to implement in industrial processes.

Author(s) Details:

Ines Mahmoud,
Tunisian Ministry of Defence, Air Force Army, Aviation School of Borj El Amri, Tunisia and Automatic Research Laboratory, LA.R.A, National Engineering School of Tunis, ENIT, University of Tunis El Manar Tunis, Tunisia.

Imen Saidi,
Automatic Research Laboratory, LA.R.A, National Engineering School of Tunis, ENIT, University of Tunis El Manar Tunis, Tunisia.

Please see the link here: https://stm.bookpi.org/ANDIMCSMS/article/view/8039

Study on Application of Advance Constrained Simplex Method for MIMO Systems in Quantum Communication Networks | Chapter 9 | Research Trends and Challenges in Physical Science Vol. 6

 The study and exploration of Multiple-Input Multiple-Output (MIMO) wireless access technology has been spurred by the global bandwidth shortage in the wireless communication sector (MIMO). Massive MIMO is a critical enabling technology for Quantum Communication Networks, as it combines antennas at both the transmitter and receiver to give high spectrum and energy efficiency while requiring minimal computation. The effective deployment of in Quantum Communication Networks to realise diverse applications of the intelligent sensing system requires a better understanding of MIMO system to solve the fundamental difficulties of this technology. This paper first introduces the advanced constrained simplex method (advanced complex method), then shows that when used to find the maximum of a general nonlinear function of several variables within a constrained region in wireless communication systems, especially for multiple-input multiple-out (MIMO) systems, this complex procedure has no issues (MIMO Configuration). By using simulations, the advanced constrained simplex approach is proven to be efficient when compared to the complex and simplex methods in resolving the problem of multiple-input multiple-out. In Quantum Communication networks, this wireless network design can be applied to MIMO systems. The property of technology that allows the system presented in this paper to find an optimal solution with a minimal number of searches, as opposed to a typical system in a MIMO environment that requires numerous ideal values. This system was employed in the context of a quantum network in this paper. This can achieve a more compact environment than a traditional Quantum network.

Author(S) Details

Tomonobu Sato
Staff Support Group of Hitachi ICT Business Services Ltd., Tokyo, Japan.

View Book:- https://stm.bookpi.org/RTCPS-v6/article/view/5399