Applied and Computational Control, Signals, and Circuits

1. Front Matter

   Pages i-xxi

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2. Discrete Event Systems: The State of the Art and New Directions

   • Christos G. Cassandras, Stéphane Lafortune

   Pages 1-65

3. Array Algorithms for H ² and H ^∞ Estimation

   • Babak Hassibi, Thomas Kailath, Ali H. Sayed

   Pages 67-120

4. Nonuniqueness, Uncertainty, and Complexity in Modeling

   • Hidenori Kimura

   Pages 121-150

5. Iterative Learning Control: An Expository Overview

   • Kevin L. Moore

   Pages 151-214

6. FIR Filter Design via Spectral Factorization and Convex Optimization

   • Shao-Po Wu, Stephen Boyd, Lieven Vandenberghe

   Pages 215-245

7. Algorithms for Subspace State-Space System Identification: An Overview

   • Bart De Moor, Peter Van Overschee, Wouter Favoreel

   Pages 247-311

8. Iterative Solution Methods for Large Linear Discrete Ill-Posed Problems

   • Daniela Calvetti, Lothar Reichel, Qin Zhang

   Pages 313-367

9. Wavelet-Based Image Coding: An Overview

   • Geoffrey M. Davis, Aria Nosratinia

   Pages 369-434

10. Reduced-Order Modeling Techniques Based on Krylov Subspaces and Their Use in Circuit Simulation

    • Roland W. Freund

    Pages 435-498

11. SLICOT—A Subroutine Library in Systems and Control Theory

    • Peter Benner, Volker Mehrmann, Vasile Sima, Sabine Van Huffel, Andras Varga

    Pages 499-539

The purpose of this annual series, Applied and Computational Control, Signals, and Circuits, is to keep abreast of the fast-paced developments in computational mathematics and scientific computing and their increasing use by researchers and engineers in control, signals, and circuits. The series is dedicated to fostering effective communication between mathematicians, computer scientists, computational scientists, software engineers, theorists, and practicing engineers. This interdisciplinary scope is meant to blend areas of mathematics (such as linear algebra, operator theory, and certain branches of analysis) and computational mathematics (numerical linear algebra, numerical differential equations, large scale and parallel matrix computations, numerical optimization) with control and systems theory, signal and image processing, and circuit analysis and design. The disciplines mentioned above have long enjoyed a natural synergy. There are distinguished journals in the fields of control and systems the­ ory, as well as signal processing and circuit theory, which publish high quality papers on mathematical and engineering aspects of these areas; however, articles on their computational and applications aspects appear only sporadically. At the same time, there has been tremendous recent growth and development of computational mathematics, scientific comput­ ing, and mathematical software, and the resulting sophisticated techniques are being gradually adapted by engineers, software designers, and other scientists to the needs of those applied disciplines.

• Matlab
• Standards
• Usability
• communication
• complexity
• computer
• control
• development
• entropy
• filter
• information
• optimization
• robotics
• simulation
• systems theory

• Department of Mathematical Sciences, Northern Illinois University, DeKalb, USA

  Biswa Nath Datta

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