Publications related to Feed forward (control)

Least-restrictive robust periodic model predictive control applied to room temperature regulation

State-feedback model predictive control (MPC) of constrained discrete-time periodic affine systems is considered. The periodic systems’ states and inputs are subject to periodically time-dependent, hard, polyhedral constraints. Disturbances are additive, b ...

Elsevier2013

A Lego Mindstorms NXT Experiment for Model Predictive Control Education

Simone Casale Brunet

This paper presents an educational framework based on the Lego Mindstorms NXT robotic platform used to outline both the theoretical and practical aspects of the Model Predictive Control theory. The case of a two-wheeled inverted pendulum is considered as a ...

2013

A Model-Based Control Approach for Locomotion of Biped Robots

Salman Faraji

In this research we aim at proposing a general novel walking method for locomotion of torque controlled robots. The method should be able to produce a wide range of speeds without requiring oﬀ-line optimizations and re-tuning of parameters. It should be ca ...

2013

Forced reattachment in separated flows: a variational approach to recirculation length reduction

François Gallaire, Edouard Boujo

Sensitivity analysis is used to design an open-loop control for separated flows. The length of the recirculation region

l_c

is expressed as a cost functional, and its sensitivity to actuation is derived analytically. This analysis allows to identify regi ...

2013

Open-loop control of noise amplification in separated boundary layers

François Gallaire, Edouard Boujo

Linear optimal gains are computed for the subcritical two-dimensional separated boundary-layer flow past a bump. Very large optimal gain values are found, making it possible for small-amplitude noise to be strongly amplified and to destabilize the flow. Th ...

2013

Open-loop control of a separated boundary layer

François Gallaire, Edouard Boujo

Linear optimal gains

G_opt(\omega)

are computed for the separated boundary-layer flow past a two-dimensional bump in the subcritical regime. Very large values are found, making it possible for small-amplitude noise to be strongly amplified and to destabi ...

Cépaduès Editions2013

Trajectory-tracking and Path-following Controllers for Constrained Underactuated Vehicles using Model Predictive Control

Colin Neil Jones, Andrea Alessandretti

This paper addresses the design of Model Predictive Control (MPC) laws to solve the trajectory-tracking problem and the path-following problem for constrained underactuated vehicles. By allowing an arbitrarily small asymptotic tracking error, we derive MPC ...

2013

Trajectory-tracking and Path-following Controllers for Constrained Underactuated Vehicles using Model Predictive Control

Colin Neil Jones, Andrea Alessandretti

This paper addresses the design of Model Predictive Control (MPC) laws to solve the trajectory-tracking problem and the path-following problem for constrained under-actuated vehicles. By allowing an arbitrarily small asymptotic tracking error, we derive MP ...

IEEE2013

A hybrid model predictive control scheme for containment and distributed sensing in multi-agent systems

Giancarlo Ferrari Trecate

This paper proposes a control scheme for distributed sensing using a leader/follower multi-agent architecture. The control objective is to make a group of mobile agents cover and sense a sequence of regions of interest. More specifically, when the leaders ...

2013

Fast seeding of NTMs by sawtooth crashes in TCV and their preemption using ECRH

Olivier Sauter, Basil Duval, Timothy Goodman, Jonathan Graves, Duccio Testa, Holger Reimerdes, Antoine Pochelon

Many tokamaks have observed that sawteeth of sufficient duration may trigger neoclassical tearing modes (NTMs) that lead to plasma performance degradation. In this paper, TCV's ability to accurately control the period of individual sawteeth is exploited, u ...

Iop Publishing Ltd2013

Feed forward (control)

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Least-restrictive robust periodic model predictive control applied to room temperature regulation

A Lego Mindstorms NXT Experiment for Model Predictive Control Education

A Model-Based Control Approach for Locomotion of Biped Robots

Forced reattachment in separated flows: a variational approach to recirculation length reduction

Open-loop control of noise amplification in separated boundary layers

Open-loop control of a separated boundary layer

Trajectory-tracking and Path-following Controllers for Constrained Underactuated Vehicles using Model Predictive Control

Trajectory-tracking and Path-following Controllers for Constrained Underactuated Vehicles using Model Predictive Control

A hybrid model predictive control scheme for containment and distributed sensing in multi-agent systems

Fast seeding of NTMs by sawtooth crashes in TCV and their preemption using ECRH

Forced reattachment in separated flows: a variational approach to recirculation length reduction

A Lego Mindstorms NXT Experiment for Model Predictive Control Education

Least-restrictive robust periodic model predictive control applied to room temperature regulation

A Model-Based Control Approach for Locomotion of Biped Robots

Trajectory-tracking and Path-following Controllers for Constrained Underactuated Vehicles using Model Predictive Control

Fast seeding of NTMs by sawtooth crashes in TCV and their preemption using ECRH

A hybrid model predictive control scheme for containment and distributed sensing in multi-agent systems

Open-loop control of a separated boundary layer

Open-loop control of noise amplification in separated boundary layers

Trajectory-tracking and Path-following Controllers for Constrained Underactuated Vehicles using Model Predictive Control