| Descript. |
v.: digital |
| Series |
Springer Tracts in Advanced Robotics,
1610-7438 ; 32
|
| Notes |
Description based upon print version of record. |
| Contents |
Front Matter; Introduction; Immune System and T-Cell Receptor Dynamics of a T-Cell Population; Micro-Agent and Stochastic Micro-Agent Models; Micro-Agent Population Dynamics; Stochastic Micro-Agent Model of the T-Cell Receptor Dynamics; Stochastic Micro-Agent Model Uncertainties; Stochastic Modeling and Control of a Large-Size Robotic Population; Conclusions and Future Work; Back Matter; |
| Summary |
Cells and Robots is an outcome of the multidisciplinary research extending over Biology, Robotics and Hybrid Systems Theory. It is inspired by modeling reactive behavior of the immune system cell population, where each cell is considered as an independent agent. In our modeling approach, there is no difference if the cells are naturally or artificially created agents, such as robots. This appears even more evident when we introduce a case study concerning a large-size robotic population scenario. Under this scenario, we also formulate the optimal control of maximizing the probability of roboti |
| Sys Details |
eBook access requires you to log in as a Federation University Australia library user |
| Notes |
Springer eBooks |
| Subject |
Robots -- Control systems.
|
|
Robotics -- Mathematical models..
|
|
T cells -- Receptors.
|
| Genre |
Electronic books. |
| Other Author |
Lima, Pedro U.
|
|
SpringerLink (Online service)
|
| ISBN |
9783540719823 |
|
