Classical methods are not usually efficient, to solving nonlinear control problems and especially Nonlinear DISTRIBUTED PARAMETER SYSTEMS Optimal Control Problems (NOCP). In this paper we introduce a new approach for solving this class of problems by using Non Linear Programming Problem (NLPP). First, we transfer the original problem to a new problem in form of calculus of variations. The next step we discrete the new problem and solve it by using NLPP packages. Moreover, a NLPP is transferred to a Linear Programming Problem (LPP) which empowers us to use powerful LP software. Finally, efficiency of our approach is confirmed by some numerical examples.

This paper presents a detailed circuit analysis and PWM implementation of a fuel cell based Z-source converter using L and C components. The Z-source converter uses the shoot-through that simultaneously turns on both power switches in a leg in order to boost a DC-link voltage. A discrete time state space model of the Z-source converter is given for DSP implementation. Also, a modified space vector pulse width modulation is described in detail for stepping up the DC-link voltage and generating a sinusoidal AC output voltage. To verify the effectiveness of the analyzed circuit model and modified space vector PWM technique, simulation results using Matlab/Simulink will be presented under an open-loop control and a closed loop control.

In this note some useful properties of strongly continuous two-PARAMETER semigroups of operators are studied, an exponential formula for two-PARAMETER semigroups of operators on Banach spaces is obtained and some applied examples of two-PARAMETER dynamical SYSTEMS are discussed.

In this paper the problem of the adaptive PARAMETER estimation of 2-D SYSTEMS is defined, and a solution method based on identification model is presented for it. In this solution method, the system PARAMETERs are decomposed into two blocks, namely the horizontal and vertical blocks. The estimations of the horizontal and vertical blocks, which are the identification model adjustable PARAMETERs, are adjusted along the horizontal and vertical directions respectively. Thus a 2-D adaptive algorithm is obtained for estimating the 2-D SYSTEMS PARAMETERs. The convergence (stability) of the 2-D algorithm is analyzed via 2-D layponov approach, and also the algorithm asymptotic stability conditions, that are the 2-D persistent excitation conditions, are obtained in terms of the system locally controllability and the system input generality. In the end of paper the effectiveness of the presented procedure is illustrated by computer simulation.

DISTRIBUTED storage SYSTEMS are mainly justified due to their ability to store data reliably over some unreliable nodes such that the system can have long term durability. Recently, regenerating codes are proposed to make a balance between the repair bandwidth and the storage capacity per node. This is achieved through using the notion of network coding approach. In this paper, a new variation of these codes, called hybrid regenerating codes incorporating a super node is proposed, showing in some cases the new code outperforming existing regenerating codes in terms of the repair bandwidth and/or download cost.

This study was conducted during summer and winter of 2018- 2019 in the agricultural research field of Shahid Chamran University. Experimental design was split- plot based on RCBD with three replications. The main plot was the type of agricultural system in three levels including conventional (Conv), organic (Org) and sustainable (Sust) (integrated between Conv and Org) and sup- plot was the type of pre- cultivated crop in sequence with wheat including cultivation of mung bean (M- W), corn (C- W), sesame (S- W) and fallow (F- W). Yield quantity (yield and its component) and quality (grain protein), an estimate of photosynthesis matter transfer index of wheat and soil organic carbon (SOC) after one double-cropping were measured. The result showed that the highest (545.04 g/m2) and the lowest (409.28 g/m2) seed yields were obtained in Conv and Org respectively. In contract, with the changing type of system from Conv to Org, grain protein was increased significantly (from 8.3 to 9.6 %). In addition, the highest (535.47 g/m2) yield of wheat was obtained from M- W double cropping. On the other hands the highest remobilization and current photosynthesis matter were obtained in the organic agricultural system with M- W and conventional with M- W double cropping. The situation of SOC showed that the highest (33.18 mg/g) SOC was obtained in the organic agricultural system with C- W double cropping. The reason for improving SOC in the organic and sustainable agricultural system was application of organic matter (compost and vermicompost) and crop residue management. Totally, from the crop ecology point of view, sustainable agricultural method with a sequence of M- W was the most desirable system.

In this paper, a Multi-Input Multi-Output (MIMO) Model Reference Adaptive Control (MRAC) scheme for a flexible rotating arm is developed. In order to construct a reference model to be followed by this DISTRIBUTED PARAMETER system, a finite element method is used to approximate the behavior of the arm. An input error direct adaptive control algorithm is utilized as the control approach to account for PARAMETER uncertainty. Assuming the same approximation and structure as the model for the actual system, the stability analysis of the proposed controller will be straightforward. Simulation results are provided to illustrate the performance of the proposed algorithm in the presence of disturbance and uncertainties. Also, the proposed algorithm results are compared with those of a conventional PD controller.

The operation of Fuel Cell DISTRIBUTED Generation (FCDG) SYSTEMS in distribution SYSTEMS is introduced by modeling, controller design, and simulation study of a Solid Oxide Fuel Cell (SaFe) DISTRIBUTED generation (DG) system. The physical model of the fuel cell stack and dynamic models of power conditioning units are described. Then, suitable control architecture based on fuzzy logic control for the overall system is presented in order to active power control and power quality improvement. A MATLAB/Simulink simulation model is developed for the SOFC DG system by combining the individual component models and the controllers designed for the power conditioning units.Simulation results are given to show the overall system performance including active power control and voltage regulation capability of the distribution system.