The relationship between three state space realizability conditions for nonlinear multi-input multi-output differential equations, formulated in terms of different mathematical tools, is studied. Moreover, explicit formulas are provided for calculation of the differentials of the state coordinates which, in case the necessary and sufficient realizability conditions are satisfied, can be integra...

Most processes in industry are complex mul-tivariable systems with nonlinear and time-varying dynamics. These processes are often diicult to model. However, often much expert knowledge and process data is available. Fuzzy modeling and control techniques can eeciently integrate this information. However, most of the systems considered in literature are of low-order and SISO or MISO systems. For ...

This paper suggests a method to develop rule-based models to systems with multiple inputs and outputs using concepts about rough sets. The rules provide relations among variables and give a mechanism to link granular descriptions of the models with the computational procedures used. An estimation procedure is applied to compute values from numeric representations encoded by rule sets. The metho...

Visible light communications (VLC) based on light-emitting diodes (LEDs) merges lighting and data communications in applications of Internet-of-Things and 5G networks. However, phosphor-based white LED has a limited linear dynamic range and limited modulation bandwidth. In practical indoor mobile communications, complex channel conditions change dynamically in real-time, and line of sight (LOS)...

In this paper, we propose an observer-based fuzzy adaptive control scheme for a class of multiple-input-multiple-output (MIMO) nonlinear non-affine systems with uncertainty and unknown state derivative. The proposed approach combines the recurrent-type fuzzy logic system (RFLS) and nonlinear observer to deal with the tracking control problem. It adopts the RFLS to approximate nonlinear unknown ...

Many technical systems for the control of temperatures require a MIMO (multiple input multiple output) model for the control design. This problem arises in systems with higher geometric dimensions, more than one actuating value, strongly coupled structure, or extreme precision requirements. In this case, the assumption of equal temperatures in the complete device is not valid. If higher tempera...

The problem of global robust stabilization is investigated for a class of multi-input, minimum-phase nonlinear systems with unknown time-varying parameters or disturbances belonging to a given compact set. It is assumed that the systems admit a special structure, which is much more general than strict feedback form. It is shown that such a structure makes it possible to construct both Lyapunov ...

This paper extends the results of [3] and presents a modified version of Tomlinson-Harashima type precoding applicable to a setting with decentralized receivers, e.g., in a DS-CDMA downlink scenario. Precoding, i.e., nonlinear pre-equalization, is an interesting strategy for significantly simplifying signal processing at the receiver side (mobile terminals) at only moderate additional complexit...

This paper presents a robust approach to identify multi-input multi-output (MIMO) systems. Integrating support vector regression (SVR) and annealing dynamical learning algorithm (ADLA), the proposed method is adopted to optimize a radial basis function network (RBFN) for identification of MIMO systems. In the system identification, first, SVR is adopted to determine the number of hidden layer n...

This paper presents a nonlinear control strategy utilizing the linearization and input-output decoupling approach for a nonlinear dynamic model of proton exchange membrane fuel cells (PEMFCs). The multiple-input single-output (MISO) nonlinear model of the PEMFC is derived first. The dynamic model is then transformed into a multiple-input multiple-output (MIMO) square system by adding additional...