'Plant model' diaporamas de présentation

Model-based Programming of Cooperating Explorers

Model-based Programming of Cooperating Explorers. Brian C. Williams CSAIL Dept. Aeronautics and Astronautics Massachusetts Institute of Technology. Programming Long-lived Embedded Systems. Large collections of devices must work in concert to achieve goals

1.01k views • 87 slides

SLAM Summer School 2004

1k views • 82 slides

612 views • 48 slides

594 views • 46 slides

Robust control

Robust control. Saba Rezvanian. Fall-Winter 88. Robust control. A control system is robust if it is insensitive to differences between the actual system and the model of the system which was used to design the controller. Robust control. Uncertainty Noise Disturbances.

2.93k views • 44 slides

588 views • 43 slides

Iran : News Agency Posts Photos of Arak Heavy Water Facility

Photo Report. Iran : News Agency Posts Photos of Arak Heavy Water Facility.

518 views • 39 slides

Hybrid & Real Time Systems

Tools & Cases UPPAAL2k Kim Guldstrand Larsen Paul Pettersson Mogens Nielsen BRICS@Aalborg BRICS@Aarhus. Hybrid & Real Time Systems. Computer Science. Control Theory. sensors. Task. Task. Task. Task. actuators. Controller Program Discrete. Plant Continuous. Eg.:. Pump Control

387 views • 38 slides

Small-Scale Robotic Arm

Small-Scale Robotic Arm. Senior Capstone Project Ben Boyle and Kitera Hayes Project Advisor: Dr. Gary Dempsey April 29, 2004. Outline. Objectives Equipment List System Specifications Functional Description Block Diagram System Parameters System Identification

503 views • 37 slides

Model Based Control Strategies

Model Based Control Strategies. Model Based Control. 1- Inverse Model as a Forward Controller (Inverse Dynamics) 2- Forward Model in Feedback 3- Combination of above. Inverse Model (Dynamic). Reference. Output. G(s). G -1 (s). Controller. Plant. Control Signal. Forward Model. q d.

527 views • 30 slides

Simulink Based Robot Arm Control Workstation

Simulink Based Robot Arm Control Workstation. By Adam Vaccari and Kain Osterholt Advisor: Dr. Dempsey March 3, 2005. Presentation Outline. Introduction SimMechanics Plant Model Force Feedback Virtual Reality Schedule. Introduction. Goals Model Robot Arm in SimMechanics Toolbox

329 views • 30 slides

MIMO LQG/LTR Control

MIMO LQG/LTR Control. for the Earthmoving Vehicle Powertrain Simulator (EVPS). group seminar on Oct. 19th, 2000 [presenter] Rong Zhang [advisor] Prof.. Andrew Alleyne [team partner] Eko Prasetiawan [project sponsor] Caterpillar. A LLEYNE R ESEARCH G ROUP. Overview.

779 views • 28 slides

Model Reference Adaptive Control Survey of Control Systems (MEM 800)

Model Reference Adaptive Control Survey of Control Systems (MEM 800). Presented by Keith Sevcik. Model. y model. Adjustment Mechanism. Controller Parameters. u c. Controller. Plant. u. y plant. Concept.

1.8k views • 26 slides

Chapter 1

268 views • 26 slides

Model-based Analysis and Implementation of Embedded Systems

Model-based Analysis and Implementation of Embedded Systems. Rajeev Alur University of Pennsylvania www.cis.upenn.edu/~alur/. MIT Workshop, August 2005. Model-Based Design. Benefits of model-based design Detecting errors in early stages Powerful and formal analysis

390 views • 25 slides

Simulation of Network Attacks on SCADA Systems

Simulation of Network Attacks on SCADA Systems. Rohan Chabukswar, Bruno Sinopoli , Gabor Karsai, Annarita Giani , Himanshu Neema, Andrew Davis. Outline. Introduction Security of SCADA Systems C2WindTunnel Testbed Design Testbed Implementaion Simulation Example System Model and Attacks

487 views • 22 slides

317 views • 19 slides

( a and K are unknown )

Real System. +. -. Model. Sensitivity Equations. Real System. Q. Specify. +. e 2. }. e. -. +. e 1. -. +. -. Form S(t). +. -. Use to continuously update Coefficients in model and Sensitivity equations. -. -. Application of Advanced Automation in Opto-Electronic Systems.

93 views • 1 slides