Tutorial | Sliding Mode Control and Observation |
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Time | 10:00-17:30 (Oct. 21, 2014) Room 206A |
Organizer | Prof. Christopher Edwards (University of Exeter) |
Fee | Student 150 USD, Regular 200 USD |
Presentation | English |
Program |
The sliding mode methodology has been proved to be effective in dealing with complex dynamical systems affected by disturbances,
uncertainties and un-modelled dynamics. Robust controllers can be developed exploiting the well known insensitivity properties of
sliding modes to so-called matched uncertainties. These robustness properties have also been exploited in the development of nonlinear
observers for state and unknown input estimation. The workshop will begin with an introduction to conventional sliding and will then go on to examine more recent developments – so-called higher-order sliding modes, particularly second-order sliding modes. Throughout the workshop a number of practical engineering examples will be considered to demonstrate the features and advantages of using sliding modes. The results of implementations of these ideas will be presented and discussed. In addition, a detailed case study will be presented demonstrating the use of sliding mode ideas for fault detection and fault tolerant control in aerospace systems. • 10:00 - 11:00 an overview of sliding modes and their properties • 11:00 - 12:00 conventional sliding mode controllers and their design (+case study) • 12:00 - 13:30 Lunch • 13:30 - 14:30 conventional sliding mode observers and their properties • 14:30 - 16:00 second-order sliding mode controllers/observers/differentiators • 16:00 - 17:30 sliding modes for fault detection and fault tolerant control (an aerospace case study) |
Tutorial |
Introduction to Filtering Theory with Applications to Autonomous Ground Vehicle 필터링 이론 및 자율주행자동차에의 응용 |
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Time | 10:00-17:30 (Oct. 21, 2014) Room 207 |
Organizer | Prof. Chan Gook Park (Seoul National University) |
Fee | Student 150,000 Won, Regular 200,000 Won |
Presentation | Korean |
Program | • 10:00 – 12:00: Lecture 1 (Linear Kalman Filters) – Ick Ho Whang (ADD) • 12:00 – 13:30: Lunch • 13:30 – 15:30: Lecture 2 (Nonlinear Filters) – Seong Yun Cho (Kyung-Il University) • 15:30 – 17:30: Lecture 3 (Filtering for Applications to Autonomous Driving) – Kyongsu Yi (SNU) The principal goal of this tutorial is to provide an introduction to the basic principle and applications of Linear Kalman filter, Unscented Kalman filter and Particle filter to autonomous ground vehicles. Fundamental concept on the filtering techniques with detailed mathematical development will be introduced, so that one can build up solid background on the basics of Kalman filter as well as general estimation theory. Considering the importance of Kalman filtering in the practicing areas of autonomous ground vehicle, practical applications of Kalman filter in real fields are also presented following the basic theory. The workshop will deliver highly useful knowledge and experience for graduate students working on related research, scientists of government institutes, and field engineers being involved with practical projects. The one-day tutorial consists of three parts. In the morning session, introduction and mathematical developments of the linear Kalman filter theory is scheduled. During the afternoon session, more advanced filters such as the unscented filter and the particle filters will be discussed. Finally, filtering techniques for perception, decision, and control based on vision sensor, Radar, and Lidar will be explained to improve safety and convenience of autonomous ground vehicle applications. |
Tutorial |
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Time | 13:30-17:30 (Oct. 21, 2014) |
Organizer | Prof. Hong Seong Park (Kangwon National University) |
Fee | 50 USD |
Presentation | English |
Program | • 13:30-14:30: OPRoS Overview • 14:30-15:30: Installation and OPRoS IDE in Linux • 15:30-16:30: OPRoS Component in Linux • 16:30-17:30: Demonstration of OPRoS with Robot in Windows OPRoS is an open source robot software platform (as are OROCOS, OpenRTM, and ROS) with its own Integration Development Environment. This tutorial is for understanding the OPRoS Component Mode, executing the OPRoS Framework, and practicing one example application with the OPRoS Simulator in Windows, or demonstrating an application with OPRoS Reference Robot in Linux. |