Essays about: "robust optimal control"

Showing result 6 - 10 of 47 essays containing the words robust optimal control.

  1. 6. Robust Safe Control for Automated Driving Systems With Perception Uncertainties

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Yan Feng Yu; [2022]
    Keywords : Adaptive cruise control; Autonomous Driving System; Control barrier function; Cyber-physical systems; Measurement uncertainties; Model predictive control; Kalman filter; Adaptiv farthållare; Autonoma körsystem; Kontrollbarriärfunktion; Cyberfysiska system; Mätstörning; Modellförutsägande styrning;

    Abstract : Autonomous Driving Systems (ADS), a subcategory of Cyber-Physical Systems (CPS) are becoming increasingly popular with ubiquitous deployment. They provide advanced operational functions for perception and control, but this also raises the question of their safety capability. READ MORE

  3. 7. Technologies and Evaluation Metrics for On-Board Over the Air Control

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Aneysha Datta; [2022]
    Keywords : Wireless; Performance Metrics; WAVE; DMG; Intra-Vehicular Communication; BER; Simulink; Model-Based Design;

    Abstract : This project has been carried out at the Electronic Embedded Systems Architecture Department at Volvo Construction Equipment (VCE), Eskilstuna, Sweden. It forms the baseline for a stepwise systematic research initiative to convert wired technologies used for certain in-vehicle control and communication components to wireless technologies. READ MORE

  4. 8. Reference Tracking with Adversarial Adaptive Output- Feedback Model Predictive Control

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Linda Bui; [2021]
    Keywords : Model Predictive Control; Adversarial Multi-Armed Bandits; Kalman Filter; Output-Feedback; Adaptive Control ; Modell Prediktiv Reglering; Kontradiktoriska Flerarmade Banditer; Kalman Filter; Output-Feedback; Adaptiv Reglering;

    Abstract : Model Predictive Control (MPC) is a control strategy based on optimization that handles system constraints explicitly, making it a popular feedback control method in real industrial processes. However, designing this control policy is an expensive operation since an explicit model of the process is required when re-tuning the controller. READ MORE

  5. 9. Belief-aided Robust Control for Remote Electrical Tilt Optimization

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jack Jönsson; [2021]
    Keywords : Mobile Network Optimization; Remote Electrical Tilt; Robust Control; Reinforcement Learning; Partially Observable Markov Decision Process; Belief State Estimation; Bayesian Neural Network; Optimering av Mobilnätverk; Fjärrstyrning av Elektrisk Lutning; Robust Reglering; Delvis Observerbar Markovprocess; Tillståndsestimering; Bayesiskt Neuralt Nätverk;

    Abstract : Remote Electrical Tilt (RET) is a method for configuring antenna downtilt in base stations to optimize mobile network performance. Reinforcement Learning (RL) is an approach to automating the process by letting an agent learn an optimal control strategy and adapt to the dynamic environment. READ MORE

  6. 10. Robust Booster Landing Guidance/Control

    University essay from KTH/Optimeringslära och systemteori

    Author : Ugurcan Çelik; [2020]
    Keywords : Booster; Rocket; Reusable; Stage; Vertical; Landing; Auto-Pilot; Guidance; Control; Navigation; Reinforcement Learning; Robust; Optimization; Optimal Control; Uncertainty Analysis; Booster; raket; återanvändbar; scen; vertikal; landning; autopilot; ledning; kontroll; navigering; förstärkningsinlärning; robust; optimering; optimal kontroll; osäkerhetsanalys;

    Abstract : The space industry and the technological developments regarding space exploration hasn’t been this popular since the first moon landing. The privatization of space exploration and the vertical landing rockets made rocket science mainstream again. READ MORE