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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhang, B.S. Leigh, I. Leigh, J.R. |
| Copyright Year | 1995 |
| Description | Author affiliation: Ind. Control Center, Westminster Univ., UK (Zhang, B.S.; Leigh, I.; Leigh, J.R.) |
| Abstract | Modern learning technology has a great deal to offer in the practical application of vehicle cruise control. Using this approach a single controller can be developed for a wide class of vehicle/engine configurations without the need for lengthy individual setting-up and tuning to take account of the many variations that occur in practice between vehicles, engines and actuator geometry. A learning controller is designed using pattern recognition techniques, which are used online for observing patterns of the process output and then applying a set of tuning rules to the recognised patterns in order to set the appropriate controller settings. This process is activated automatically by the learning controller by monitoring the current control performance and deciding if it is necessary to re-tune the controller settings. Alternatively the process is activated manually by the driver using a push-button. A simulation study of a vehicle cruise control system shows the simplicity and effectiveness of the learning control approach. |
| Starting Page | 3101 |
| Ending Page | 3105 |
| File Size | 560416 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780324455 |
| DOI | 10.1109/ACC.1995.532087 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-06-21 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Control systems Pattern recognition Vehicles Tuning Automatic control Process control Three-term control Relays Engines Adaptive control |
| Content Type | Text |
| Resource Type | Article |
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