Name
Abstract | ||
|---|---|---|
This paper focuses on the development of an optimization algorithm for car motion predictive control that addresses both hybrid car dynamics and hybrid minimization criterion. Instead of solving computationally demanding nonlinear mixed-integer programming task or approximating the hybrid dynamics/criterion, the Hamiltonian-switching hybrid nonlinear predictive control algorithm developed in this ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCST.2017.2747504 | IEEE Transactions on Control Systems Technology |
Keywords | Field | DocType |
Vehicle dynamics,Autonomous vehicles,Optimization,Predictive control | Motion control,Control theory,Nonlinear system,Control theory,Model predictive control,Control engineering,Robustness (computer science),Vehicle dynamics,Minification,Time complexity,Mathematics | Journal |
Volume | Issue | ISSN |
26 | 6 | 1063-6536 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pcolka, M. | 1 | 3 | 3.51 |
| Eva Zacekova | 2 | 0 | 1.35 |
| Sergej Celikovský | 3 | 359 | 97.30 |
| M. Sebek | 4 | 38 | 17.74 |