Modeling and Control of Complex Systems
Regular price
€291.40
14 days return policy
Shipping & Delivery
ADP Method
advanced control strategies for robotics
Average Queue Size
biomedical system modeling
boolean
Bottleneck Link
Category=GPFC
complex adaptive systems
Congestion Control
Congestion Control Protocols
Congestion Window
cortex
distributed control theory
Docking Station
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Execution Time
Flow Density Relationship
Gap
Have
Kuramoto Model
LWR Model
multi-agent coordination
network
networks
neural
nonlinear dynamics
Optimal Control
Optimal Controller
optimization
PBN
Power Consumption
probabilistic
problem
Queue Size
Sending Rate
sensor
Sensor Networks
Sensor Nodes
Standard Search Algorithm
Terminal Penalty
turbulent flow stabilization
UAVs
wireless
Wireless Sensor Networks
Product details
- ISBN 9780849379857
- Weight: 907g
- Dimensions: 156 x 234mm
- Publication Date: 26 Dec 2007
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
Secure
checkout
Fast Shipping
Easy returns
Comprehension of complex systems comes from an understanding of not only the behavior of constituent elements but how they act together to form the behavior of the whole. However, given the multidisciplinary nature of complex systems, the scattering of information across different areas creates a chaotic situation for those trying to understand possible solutions and applications.
Modeling and Control of Complex Systems brings together a number of research experts to present some of their latest approaches and future research directions in a language accessible to system theorists. Contributors discuss complex systems such as networks for modeling and control of civil structures, vehicles, robots, biomedical systems, fluid flow systems, and home automation systems. Each chapter provides theoretical and methodological descriptions of a specific application in the control of complex systems, including congestion control in computer networks, autonomous multi-robot docking systems, modeling and control in cancer genomics, and backstepping controllers for stabilization of turbulent flow PDEs.
With this unique reference, you will discover how complexity is dealt with in different disciplines and learn about the latest methodologies, which are applicable to your own specialty. The balanced mix of theory and simulation presented by Modeling and Control of Complex Systems supplies a strong vehicle for enlarging your knowledge base a fueling future advances and incredible breakthroughs.
Petros A. Ioannou, Andreas Pitsillides
