Buch, Englisch, Band 14, 304 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 1390 g
Reihe: The International Series on Discrete Event Dynamic Systems
In Honor of Professor Yu-Chi Ho
Buch, Englisch, Band 14, 304 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 1390 g
Reihe: The International Series on Discrete Event Dynamic Systems
ISBN: 978-1-4020-7208-6
Verlag: Springer US
-modeling of complex systems,
-power control in ad hoc wireless networks,
-adaptive control using multiple models,
-constrained control,
-linear quadratic control,
-discrete events,
-Markov decision processes and reinforcement learning,
-optimal control for discrete event and hybrid systems,
-optimal representation and visualization of multivariate data and functions in low-dimensional spaces.
Zielgruppe
Research
Fachgebiete
- Mathematik | Informatik Mathematik Mathematische Analysis Variationsrechnung
- Mathematik | Informatik EDV | Informatik Informatik
- Mathematik | Informatik Mathematik Mathematik Interdisziplinär Systemtheorie
- Mathematik | Informatik Mathematik Operations Research Spieltheorie
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
Weitere Infos & Material
1 Optimal Representation and Visualization of Multivariate Data and Functions in Low-Dimensional Spaces.- 2 Modeling of Complex Systems.- 3 Power Control in ad hoc Wireless Networks: An Architectural Solution for a Melee of Multiple Agents, Cost Criteria), and Information Pattern.- 4 Some Examples of Optimal Control.- 5 Adaptive Control Using Multiple Models: A Methodology.- 6 Constrained Control: Poly topic Techniques.- 7 An Introduction to Constrained Control.- 8 On Feasibility of Interplanetary Travel: The Flight from Earth to Mars and Back.- 9 Linear Quadratic Control Revisited.- 10 Discrete Events: Timetables, Capacity Questions, and Planning Issues for Railway Systems.- 11 A Sensitivity View of Markov Decision Processes and Reinforcement Learning.- 12 Optimal Control for Discrete Event and Hybrid Systems.