Set the objective function fun to be Rosenbrock's function. Get fun = @(x)100*(x(2)-x(1)^2)^2 + (1-x(1))^2; Find the minimum value starting from the point [0.5,0], constrained to have x(1)+2x(2)≤1 and 2x(1)+x(2)=1. Express the linear inequality constraint in...
This paper proposes an adaptive neural‐network control design for a class of output‐feedback nonlinear systems with input delay and unmodeled dynamics under the condition of an output constraint. A coordinate transformation with an input integral term and a Nussbaum function are combined to solve ...
Nonlinear Least Squares with Nonlinear Constraint Copy Code Copy Command Consider the following objective function, a sum of squares: 10∑k=1(2+2k+exp(kx1)+2exp(2kx22))2. The code for this objective function appears as the myfun function at the end of this example. Minimize this function...
The returned solution x is not at the original point [2 4 5 1/2] because the nonlinear constraint is violated at that point. Plot the data against the curve from the solution point and compute the constraint function. Get plot(xdata,ydata,'ro',xdata,myfun(x,xdata),'b-') Get [c...
The priorDistribution function returns the log of the joint prior distribution of the state-space model parameters. You can use the functions only within this script. Create a Bayesian nonlinear state-space model for the DGP. Arbitrarily choose values for the hyperparameters. Indicate that the ...
Nonlinear Least Squares with Nonlinear Constraint Copy Code Copy Command Consider the following objective function, a sum of squares: 10∑k=1(2+2k+exp(kx1)+2exp(2kx22))2. The code for this objective function appears as the myfun function at the end of this example. Minimize this function...
Find the minimum value of Rosenbrock's function when there are both a linear inequality constraint and a linear equality constraint. Set the objective function fun to be Rosenbrock's function. fun = @(x)100*(x(2)-x(1)^2)^2 + (1-x(1))^2; Find the minimum value starting from ...
Find the minimum value of Rosenbrock's function when there are both a linear inequality constraint and a linear equality constraint. Set the objective function fun to be Rosenbrock's function. Get fun = @(x)100*(x(2)-x(1)^2)^2 + (1-x(1))^2; Find the minimum value starting ...
Find the minimum value of Rosenbrock's function when there are both a linear inequality constraint and a linear equality constraint. Set the objective function fun to be Rosenbrock's function. Get fun = @(x)100*(x(2)-x(1)^2)^2 + (1-x(1))^2; Find the minimum value starting ...
Nonlinear Least Squares with Nonlinear Constraint Copy Code Copy Command Consider the following objective function, a sum of squares: 10∑k=1(2+2k+exp(kx1)+2exp(2kx22))2. The code for this objective function appears as the myfun function at the end of this example. Minimize this function...