Optimization techniques have gained greater acceptance in industrial applications, and learning system has made a significant impact on engineering problems in many areas, including modeling, control, optimization, pattern recognition, signal processing and diagnosis. Featuring new and efficient learning techniques for stochastic optimization, and with examples that illustrate the practical application of this technique, this book will be useful for control engineers to practice and for graduate students taking courses in optimization, control theory or statistics.