I would like to solve an optimal control problem by minimizing an integral, but I get solution not found. Here is the code. J(u)=\int{0}^{500}
I'm solving an integer nonlinear programming problem with python gekko, where there're 1446 integer variable, 31 constraints of the linear combinations of there
Can you give me a code example with which I can implement the feedback presented in the illustration? I would like to connect per time step the calculation resu
I am starting to learn Gekko and I am testing optimal control problems. I am trying to solve the following optimal control problem with Gekko The solution of t
I have the following objective function : Minimize(sum(abs(di[i]-d[i]) ) ) and I want to add a constraint to make sure that d[i] is appeared at least k times i
import math from gekko import GEKKO m = GEKKO() Q = m.Var(value=0) # 给定初值为0 P1 = m.Var(value=0) # 给定初
I get a converging solution while trying to solve a Partial Differential Equation attached below. In my code, I want to calculate a volume flow rate over time b
In a project, I have to use python language to tune the PID coefficients of the boiler de-super-heater control loop. So, I use the Gekko package to identify the
I am trying to optimize the trajectory of a thrust propelled system. The control variable is the mass flow rate, and the final objective is to maximize the mass
I'm trying to solve an optimal control problem where a person lands on the Moon, but has a device that can propel her upwards, via a control parameter, alpha. T
I would like to solve a 1D Navier equation on a cylindrical imposed tubes(cartesian cordinates). The flow is along y direction, with right chamber having press
I'm trying to reproduce the result in Figure 1 of the paper "Immunotherapy: An Optimal Control Theory Approach" by K. Renee Fister and Jennifer Hughes Donnelly,
I just got started with GEKKO. I am trying to optimize a 3D array with 200 variables, but they only take binary values (0 or 1). This is what my code looks like