Magnate-Emmanuel / Deep-Learning-Based-State-EstimationLinks
Deep learning based state estimation: incorporating Transformer and LSTM to Kalman Filter with EM algorithm.
☆12Updated 3 years ago
Alternatives and similar repositories for Deep-Learning-Based-State-Estimation
Users that are interested in Deep-Learning-Based-State-Estimation are comparing it to the libraries listed below
Sorting:
- This project demonstrates the use of a physics informed neural network to estimate the state of ground vehicles☆13Updated last year
- This repository contains the code for the project of the Vehicle Systems Dynamics exam. It includes the nonlinear modelling and control o…☆14Updated 2 years ago
- Physics-Guided Reinforcement Learning System for Realistic Vehicle Active Suspension Control (IEEE ICMLA 2023)☆25Updated last year
- DL-MPC(deep learning model predictive control) is a software toolkit developed based on the Python and TensorFlow frameworks, designed to…☆38Updated 7 months ago
- Using PINN based MPC for motion planning for SDC and LSTM for pedestrain's trajectory prediction as dynamic obstacles☆49Updated 2 years ago
- ☆31Updated last year
- The project uses a nonlinear autoregressive exogenous (NARX), model to make time-series prediction on data obtained from drive cycling te…☆39Updated 2 years ago
- NiravRaiyani / Implementation-and-comparison-of-Advanced-process-control-strategies-to-stirred-tank-mixing-processImplementation of Linear Quadratic Regulator (LQR), Minimum Principle and Model Predictive Control(MPC) to stirred tank mixing process☆18Updated last year
- ☆11Updated 2 years ago
- Active suspension system, quarter-car dynamic model, LQR controller & PID controller☆17Updated 2 years ago
- Optimization of an active suspension system (Fuzzy Logic Controlled) by use of Particle Swarm Optimization☆27Updated 8 years ago
- Official repository of Artificial Neural Network-Based Adaptive PID Controller Design for Vertical Takeoff and Landing Model, which is pr…☆48Updated last year
- Torque Vectoring Predictive Control for Electric Vehicles☆16Updated 4 years ago
- The digital twin paradigm that integrates the information obtained from sensor data, physics models, as well as operational and inspectio…☆18Updated 3 years ago
- ☆24Updated 2 years ago
- Process Control code, include optimization, Model Predictive Control (MPC), Moving Horizon, Kalman filter etc☆24Updated 7 years ago
- Implementation of model predictive control using neural network model.☆25Updated last year
- Simulated & controlled semi-active suspension system of car on MATLAB & Simulink.☆22Updated 3 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆53Updated 6 years ago
- LSTM-MPC: Deep Learning Based Predictive Control for Multimode Process Control☆60Updated 5 months ago
- Lyapunov based based backstepping controller was developed to control an induction motor.☆10Updated 6 years ago
- Pytorch Implementation of Deep Kalman Filter☆10Updated last month
- ☆15Updated 4 years ago
- A reliable controller is critical for execution of safe and smooth maneuvers of an autonomous vehicle. The controller must be robust to e…☆74Updated 6 years ago
- Vehicle dynamics with a sophisticated friction model and drive-train model that can be used to augment any multi-body simulation (such as…☆20Updated last year
- CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy Model☆25Updated 2 years ago
- Modeling, Planning and Nonlinear Control Techniques For Autonomous Vehicles 🎛️🚘☆14Updated 4 years ago
- This paper presents a data-driven control design framework to achieve robust tracking control without exploiting mathematical model of no…☆33Updated 3 years ago
- Best MPC exercises and best annotated answers here!☆11Updated 4 years ago
- ☆14Updated 7 years ago