Model Predictive Static Programming (MPSP) was used under the assumption of continuous control, which impedes it for applications with bang-off-bang control. In this paper, MPSP is employed for the first time as a guidance scheme for low-thrust transfers with bang-off-bang control where the ...
4.1.2Model predictive control Kelly et al. first incorporated the algorithmic idea of Model Predictive Control (MPC) into trajectory research in 2003, transforming the kinematic modeling of vehicles in the driving process into a nonlinearparametric optimizationproblem, and although there are limitations ...
Finally, we remark that there are traditional methods for tracking control, such as PID, MPC (model predictive control), and H∞ trackers (see refs. 20,21, references therein). In terms of computational complexity, these classical controllers are extremely efficient, while the training of our ...
Model Predictive Control (MPC) is a set of computer control algorithms which use a process model to predict the future response of a process. From: Computer Aided Chemical Engineering, 2011 About this pageSet alert Also in subject areas: ...
Model predictive control principle and modularization Direction vector prediction model and validation Sensor based control with potential functions Safety constraints Validation of the sensor based control with potential functions Conclusion and perspective References Author information Additional information Electroni...
Overview This is an optimal control solver library using constrained differential dynamic programming (CDDP) written in C++. This library is particularly useful for mobile robot trajectory optimization and model predictive control (MPC). The CDDP library solves problems in the form: ...
Model-based predictive current control The foundation of the suggested PC strategy rests upon the concept that a static power converter can generate a finite set of potential switching states. The system's ability to forecast the variables' behavior for each of these states is key. Establishing ...
A model-based predictive approach is proposed for the strip head motion control during the steel strip infeed in hot rolling finishing mills. The design is based on a nonlinear simplified mathematical model in a form of ordinary differential equations. It is already shown that this model captures...
Model predictive control (MPC) is a powerful technique for generating feasible trajectories because of its capability to systematically handle system nonlinearities and constraints, consider the running costs directly in a cost function, and cope with multivariable process control [2]. Concomitant advances...
The use of predictive analytics has been criticized and, in some cases, legally restricted due to perceived inequities in its outcomes. Most commonly, this involves predictive models that result in statistical discrimination against racial or ethnic groups in areas such as credit scoring, home lending...