Optimal regulation for dynamic hybrid systems based on dynamic programming in the case of an intelligent vehicle drive assistant

Research output: Journal contributionsJournal articlesResearchpeer-review

Authors

This contribution proposes an application of an optimisation algorithm to be implemented in an intelligent drive assistant. A vehicle dynamic model is introduced and after the characterisation of its considered nonlinearities some elements of the background concerning “Dynamic Programming” are given together with the proposed algorithm. A two-point boundary value optimization problem in term of velocity is proposed with its solution using the well-known “Dynamic Programming” method. The novelties of this approach consists of a technique which leads to a global optimum. In fact, this technique searches throughout the whole state-space for it. Because of the nonlinearity of the considered problem, using numerical methods seems to be the only way solving it. Using “Dynamic programming” such kind of a complex problem is solved by dividing it into a collection of simpler subproblems. At the end, an optimal feedback controller for the angular position of the throttle valve of the engine is proposed. Simulation results are discussed together with possible application aspects such as “Curse of Dimensionality” and an explicit analysis concerning the calculation effort.

Original languageEnglish
JournalIFAC-PapersOnLine
Volume49
Issue number15
Pages (from-to)169-174
Number of pages6
ISSN2405-8971
DOIs
Publication statusPublished - 2016

    Research areas

  • Autonomous vehicles, Hybrid models, Modelling, Optimal control
  • Engineering

Recently viewed

Publications

  1. Application of non-convex rate dependent gradient plasticity to the modeling and simulation of inelastic microstructure development and inhomogeneous material behavior
  2. Expertise in research integration and implementation for tackling complex problems
  3. Set-oriented numerical computation of rotation sets
  4. An MPC for an Aggregate Actuator with a Self-Tuning Feedforward Control
  5. On the Power and Performance of a Doubly Latent Residual Approach to Explain Latent Specific Factors in Multilevel-Bifactor-(S-1) Models
  6. Machine Learning and Knowledge Discovery in Databases
  7. Making an Impression Through Openness
  8. Building a process layer for business applications using the blackboard pattern
  9. A model predictive control for an aggregate actuator with a self-tuning initial condition procedure in combustion engines
  10. A discrete approximate solution for the asymptotic tracking problem in affine nonlinear systems
  11. Global text processing in CSCL with learning protocols
  12. Performance and Comfort when Using Motion-Controlled Tools in Complex Tasks
  13. Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation
  14. N3 - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format
  15. Comparing the Sensitivity of Social Networks, Web Graphs, and Random Graphs with Respect to Vertex Removal
  16. Optimal trajectory generation using MPC in robotino and its implementation with ROS system
  17. Multi-Parallel Sending Coils for Movable Receivers in Inductive Charging Systems
  18. Computational modeling of material flow networks
  19. On the Nonlinearity Compensation in Permanent Magnet Machine Using a Controller Based on a Controlled Invariant Subspace
  20. Paraphrasing Method for Controlling a Robotic Arm Using a Large Language Model
  21. Anomaly detection in formed sheet metals using convolutional autoencoders
  22. A Multilevel CFA-MTMM Model for Nested Structurally Different Methods
  23. Framework for setting up and operating biobanks
  24. Anatomy of Haar Wavelet Filter and Its Implementation for Signal Processing
  25. Perfect anti-windup in output tracking scheme with preaction
  26. Introducing a multivariate model for predicting driving performance
  27. Semantic Parsing for Knowledge Graph Question Answering with Large Language Models
  28. Reading and Calculating in Word Problem Solving
  29. Linux-based Embedded System for Wavelet Denoising and Monitoring of sEMG Signals using an Axiomatic Seminorm
  30. 'SPREAD THE APP, NOT THE VIRUS’ – AN EXTENSIVE SEM-APPROACH TO UNDERSTAND PANDEMIC TRACING APP USAGE IN GERMANY
  31. Simultaneous Constrained Adaptive Item Selection for Group-Based Testing
  32. Inversion of fuzzy neural networks for the reduction of noise in the control loop