Can you be more specific with a simple example, you won't get 3, you'll get 15 since you are doing
The nonlinear constraints must be written in the formc(x) <= 0. We compute all the symbolic constraints and their derivatives, and place them in a function handle usingmatlabFunction. The gradients of the constraints should be column vectors; they must be placed in the objective function a...
val=log(kk)+beta*(p1*g1+p2*g2); val=-val; end 1 Comment Torstenon 23 Jun 2024 Edited:Torstenon 23 Jun 2024 Open in MATLAB Online kk in function "valfunsto" becomes negative if k is big enough. Thus val becomes complex-valued. So my code suggestion from above a...
This is a preview of subscription content, log in via an institution to check access. About this book This book examines signal processing techniques used in wireless communication illustrated by using the Matlab program. The author discusses these techniques as they relate to Doppler spread, Delay...
The proposed control mechanism is implemented using MATLAB/Simulink. The fuzzy-based controller is compared to the industry-standard proportional-integral (PI) controller to determine its efficacy. Among them, the MF-IUPQC based on FLC delivers the smoothest voltage profile and the lowest THD....
The experiment setup can be seen in Fig. 2. The robot was controlled using a control system based on Matlab and ROS, which allowed for easy motion programming, kinesthetic guidance, and state acquisition. This allowed us to efficiently collect and analyze the data, ensuring that we obtained ...
your executable from a system command window (as opposed to simply double-clicking on it), to see if any error message is displayed. Also, as Walter suggested, building as a "Console Application" instead of "Windows Standalone" with display a command window that shows the program log (...
2. Run DeePhage using MATLAB script (in MATLAB GUI) Please execute the following command directly in MATLAB command window: DeePhage('/input_file.fna','/output_file.csv') For example, if you want to identify the sequences in "example.fna", please execute: Please remember to set the...
Open in MATLAB Online I am using Bayesian optimization (bayesopt function) in Matlab for hyperparameter optimization of SVM classifier. The optimization goal is to minimize 10-fold cross validation error. Here is the code that I use: ThemeCopy KernelFlag = 1;...
MATLAB Compiler MATLAB® Compiler™ uses a dependency analysis function to determine the list of necessary files to include in the generated package. Sometimes, this process generates a large list of files, particularly when MATLAB object classes exist in the compilation and the dependency analyzer...