In recent years technological advancements in the design and fabrication of integrated circuits have led to the development of cost effective, low power, thumb-size devices that can be used for sensing/actuating, communication and computing. This trend is enabling a surge of new applications for which pervasive network architectures are being developed. A key feature of these systems is that they are decentralized and communication among different subsystems may be unreliable. From an engineering viewpoint, to ensure correct operation, the theoretical analysis requires a fundamental paradigm shift, as many of the typical assumptions of systems and control theory cease to hold.

• Chapter 1: Introduction
• Chapter 2: Distributed model predictive control
• Chapter 3: Distributed linear quadratic control
• Chapter 4: Distributed observer-based control
• Chapter 5: Distributed consensus control
• Chapter 6: Distributed estimation
• Chapter 7: Distributed Kalman filtering
• Chapter 8: Experimental setups
• Chapter 9: Appendix