Abstract
The emerging field at the intersection of quantitative biology, network modeling, and control theory has enjoyed significant progress in recent years. This Special Issue brings together a selection of papers on complementary approaches to observe, identify, and control biological and biologically inspired networks. These approaches advance the state of the art in the field by addressing challenges common to many such networks, including high dimensionality, strong nonlinearity, uncertainty, and limited opportunities for observation and intervention. Because these challenges are not unique to biological systems, it is expected that many of the results presented in these contributions will also find applications in other domains, including physical, social, and technological networks.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 690-693 |
| Number of pages | 4 |
| Journal | IEEE Transactions on Control of Network Systems |
| Volume | 5 |
| Issue number | 2 |
| DOIs | |
| State | Published - Jun 2018 |
Keywords
- Complex networks
- biological control
- biological networks
- control
- input-output systems
- nonlinear dynamics
- observability
- parameter estimation
- sensor selection
- state estimation
- system identification
ASJC Scopus subject areas
- Control and Systems Engineering
- Signal Processing
- Computer Networks and Communications
- Control and Optimization