Deterministic learning theory : for identification, recognition, and control
- Boca Raton : CRC Press, 2010
- xviii, 195 p. : ill. ; 23.5 cm.
- Automation and control engineering .
Includes bibliographical references and index.
Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation and knowledge utilization in uncertain dynamic environments. It provides systematic design approaches for identification, recognition, and control of linear uncertain systems. Unlike many books currently available that focus on statistical principles, this book stresses learning through closed-loop neural-control, effective representation and recognition of temporal patterns in a deterministic way.
9781138112056 (pbk)
Control theory Intelligent control systems Neural networks