In this paper Modelica and Optimica are used to solve two different optimal control problems for a system consisting of a pendulum and a cart. These optimiza-tions will demonstrate that Optimica is easy to use and powerful when optimizing systems with highly non-linear dynamics. The optimal control trajecto-ries are applied to a real pendulum and cart system, in open loop as well as in closed loop with an MPC-controller. The experiments show that optimal trajec-tories from Optimica together with MPC feedback is a suitable control structure when optimal transitions through non-linear dynamics are desired
Modeling and simulation are established techniques for solving design problems in a wide range of en...
The two cart inverted pendulum system is a good bench mark for testing the performance of system dyn...
Inverted pendulums have been classic setups in the control laboratories since the 1950s. They were o...
Model Predictive Control (MPC) is applied to a pendulum system consisting of a pendulum and a cart. ...
Model predictive control (MPC) is applied to a physical pendulum system consisting of a pendulum and...
Sponsor ing organization Ti tle and subti t le Gradient-Based Model Predictive Control in a Pendulum...
In this report a number of algorithms for optimal control of a double inverted pendulum on a cart (D...
We consider a mathematical model of a spherical inverted pendulum on a movable cart. The cart moves ...
In this paper, Modelica along with Optimica is used to formulate and solve a minimum time optimizati...
This paper proposes the use of explicit model predictive control (eMPC) method for the stabilising c...
In this paper, Modelica along with Optimica has been used to formulate and solve a minimum time opti...
In this paper, pole placement and two optimal control techniques which are the linear quadratic regu...
In this paper, a pole-independent, single-input, multi-output explicit linear MPC controller is prop...
Rapid developments in today's actuator and sensor technologies have pioneered the development of pla...
[[abstract]]This article presents a multiobjective approach to the design of the controller for the ...
Modeling and simulation are established techniques for solving design problems in a wide range of en...
The two cart inverted pendulum system is a good bench mark for testing the performance of system dyn...
Inverted pendulums have been classic setups in the control laboratories since the 1950s. They were o...
Model Predictive Control (MPC) is applied to a pendulum system consisting of a pendulum and a cart. ...
Model predictive control (MPC) is applied to a physical pendulum system consisting of a pendulum and...
Sponsor ing organization Ti tle and subti t le Gradient-Based Model Predictive Control in a Pendulum...
In this report a number of algorithms for optimal control of a double inverted pendulum on a cart (D...
We consider a mathematical model of a spherical inverted pendulum on a movable cart. The cart moves ...
In this paper, Modelica along with Optimica is used to formulate and solve a minimum time optimizati...
This paper proposes the use of explicit model predictive control (eMPC) method for the stabilising c...
In this paper, Modelica along with Optimica has been used to formulate and solve a minimum time opti...
In this paper, pole placement and two optimal control techniques which are the linear quadratic regu...
In this paper, a pole-independent, single-input, multi-output explicit linear MPC controller is prop...
Rapid developments in today's actuator and sensor technologies have pioneered the development of pla...
[[abstract]]This article presents a multiobjective approach to the design of the controller for the ...
Modeling and simulation are established techniques for solving design problems in a wide range of en...
The two cart inverted pendulum system is a good bench mark for testing the performance of system dyn...
Inverted pendulums have been classic setups in the control laboratories since the 1950s. They were o...