This paper proposes a smart method of FPGA based implementation of DC-DC Buck Boost converter control system using Matlab and ModelSim. The control algorithm and coding is done by means of Verilog code and implemented on an Altera FPGA Board. The FPGA takes control of the entire system and ...
\mathrm{ms}time step, running on an Intel Core i5 2.1 GHz processor with 8 GB of RAM, is used to simulate the proposed FOPID–FOPI controller in MATLAB/Simulink (2017b). The settling time (Ts) is calculated at
Code availability The “minmax algorithm” was performed using MATLAB (R2021a). The MATLAB function used in the minmax algorithm is provided in the Source Data file. References Milly, P. C. D., Dunne, K. A. & Vecchia, A. V. Global pattern of trends in streamflow and water availability...
One may visualize 2-digit finite rational points (denoted here by asterisks on a (2-D) plane) by creating the two-dimensional figure using Matlab commands >>n =99;t =0:1/n:1,x =t; y =round(rand(n+1, 1)*(n+1))/(n+1), size(y), maxi =max(y), mini =min(y), plot(x...
Emerging sub-synchronous interactions (SSI) in wind-integrated power systems have added intense attention after numerous incidents in the US and China due to the involvement of series compensated transmission lines and power electronics devices. SSI phen
the simplified model of the EPS incorporation with RESs and SMES system is shown in Fig.2. The National Energy Control Center (NECC) in Egypt has been advanced a dynamic model of Egyptian LFC in [25]. Therefore, this model will be modified using MATLAB/Simulink by adding high-level RESs ...
The interior-point optimizer is an implementation of the homogeneous and self-dual algorithm and it computes the interior point solution which is an arbitrary optimal solution [20]. The CMARS models are built up by using a special code written in MATLAB. In order to solve the CQP problem, ...
Marxan is a systematic conservation planning approach to identify the optimal locations by simulated annealing algorithm19, which means the cost of reserve construction is minimized on the basis of achieving representativeness and persistence20,21. It tries to find a near-optimal solution that achieves...
Practical implementations in software (MATLAB and Python) and hardware (FPGA and wearable devices) highlight the potential of these technologies to be integrated into real-time patient monitoring systems, thus improving the diagnosis and treatment of cardiac arrhythmias. Future research could explore the...
An FO calculus toolbox for system modeling and control design with \(1\, \mathrm{ms}\) time step, running on an Intel Core i5 2.1 GHz processor with 8 GB of RAM, is used to simulate the proposed FOPID–FOPI controller in MATLAB/Simulink (2017b). The settling time (Ts) is ...