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Multi-Purpose-MPC
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1. [Introduction](#introduction) 1. [Introduction](#introduction)
2. [Implementation Details](#implementation-details) 2. [Implementation Details](#implementation-details)
1. [Model Predictive Controller (MPC)](#mpc) 1. [Model Predictive Controller (MPC)](#model-predictive-controller-(mpc))
3. [How-To](#how-to) 3. [How-To](#how-to)
4. [Limitations and Outlook](#limitations) 4. [Limitations and Outlook](#limitations-and-outlook)
[## Introduction](#introduction) ## Introduction
In this repository you find an implementation of a multi-purpose Model Predictive Controller. The controller was implemented as a contribution to the [Automatic Control Project Course (EL2425)](https://www.kth.se/student/kurser/kurs/EL2425) at KTH Royal Institute of Technology, Stockholm. In this repository you find an implementation of a multi-purpose Model Predictive Controller. The controller was implemented as a contribution to the [Automatic Control Project Course (EL2425)](https://www.kth.se/student/kurser/kurs/EL2425) at KTH Royal Institute of Technology, Stockholm.
The developed algorithm was tested on a 1:10 RC car provided by [KTH Smart Mobility Lab](https://www.kth.se/dcs/research/control-of-transport/smart-mobility-lab/smart-mobility-lab-1.441539). The test scenarios comprised the following three tasks: The developed algorithm was tested on a 1:10 RC car provided by [KTH Smart Mobility Lab](https://www.kth.se/dcs/research/control-of-transport/smart-mobility-lab/smart-mobility-lab-1.441539). The test scenarios comprised the following three tasks:
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The rest of this readme is structured as follows. In [Section 2](##Components) we will present an overview of the entire system and discuss all fundamental components of the implementation in detail. In [Section 3](##How-To) we will provide guidelines for using the implementation in simulation and practice. [Section 4](##Limitations) will be dedicated to analyzing limitations of the current version of the controller and outline potential extensions of the implementation. The rest of this readme is structured as follows. In [Section 2](##Components) we will present an overview of the entire system and discuss all fundamental components of the implementation in detail. In [Section 3](##How-To) we will provide guidelines for using the implementation in simulation and practice. [Section 4](##Limitations) will be dedicated to analyzing limitations of the current version of the controller and outline potential extensions of the implementation.
[## Implementation Details](implementation-details) ## Implementation Details
[### Model Predictive Controller (MPC)](#mpc) ### Model Predictive Controller (MPC)
[## How-To](#how-to) ## How-To
[## Limitations and Outlook](#limitations) ## Limitations and Outlook