Deepak Ingole
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View article: Ultra-Fast Nonlinear Model Predictive Control for Motion Control of Autonomous Light Motor Vehicles
Ultra-Fast Nonlinear Model Predictive Control for Motion Control of Autonomous Light Motor Vehicles Open
Advanced Driver Assistance System (ADAS) is the latest buzzword in the automotive industry aimed at reducing human errors and enhancing safety. In ADAS systems, the choice of control strategy is not straightforward due to the highly comple…
View article: Development of Fast Linear MPC on Automotive Grade Microcontroller: Application to Micro Electric Vehicles
Development of Fast Linear MPC on Automotive Grade Microcontroller: Application to Micro Electric Vehicles Open
The efficient operation of modern Electric Vehicles (EVs) is crucial for ensuring safety, energy efficiency, and a wide speed range. Conventional controllers, such as Field-Oriented Control (FOC) and Direct Torque Control (DTC), have limit…
View article: Embedded Model Predictive Control Using Robust Penalty Method
Embedded Model Predictive Control Using Robust Penalty Method Open
Model predictive control (MPC) has become a hot cake technology for various applications due to its ability to handle multi-input multi-output systems with physical constraints. The optimization solvers require considerable time, limiting …
View article: Towards Fast Nonlinear Model Predictive Control for Embedded Applications
Towards Fast Nonlinear Model Predictive Control for Embedded Applications Open
status: Published
View article: Embedded Model Predictive Controller on Low-Cost Low-End Microcontroller for Electrical Drives
Embedded Model Predictive Controller on Low-Cost Low-End Microcontroller for Electrical Drives Open
It is very well-known that the implementation of Model Predictive Controller (MPC) on embedded platforms is challenging due to the computational complexities associated while solving an optimization problem. Although, there are many effici…
View article: The Role of Trip Lengths Calibration in Model-Based Perimeter Control Strategies
The Role of Trip Lengths Calibration in Model-Based Perimeter Control Strategies Open
Since the introduction of the Macroscopic Fundamental Diagram (MFD), many traffic control strategies and algorithms have been developed to implement MFD-based perimeter control over a specific urban region. A model-based controller consist…
View article: Nonlinear Model Predictive Control of BLDC Motor with State Estimation
Nonlinear Model Predictive Control of BLDC Motor with State Estimation Open
Brushless DC (BLDC) motor is the first choice for lightweight electric vehicles because of its high torque, high power density, and compatible speed range. The vehicle environment is very dynamic, nonlinear, and noisy. It is challenging to…
View article: Minimizing network-wide emissions by optimal routing through inner-city gating
Minimizing network-wide emissions by optimal routing through inner-city gating Open
In this paper, we propose a control and optimization framework to reduce network-wide emissions in an urban traffic network. The framework is comprised of two layers. The first layer (optimal green routing) predicts the optimal splitting c…
View article: FPGA Implementation Framework for Low Latency Nonlinear Model Predictive Control
FPGA Implementation Framework for Low Latency Nonlinear Model Predictive Control Open
Embedded implementation of real-time Nonlinear Model Predictive Control (NMPC) is extremely challenging and complex. This paper presents a framework for implementation of NMPC on Field Programmable Gate Array (FPGA). We show the step-by-st…
View article: FPGA Implementation Framework for Explicit Hybrid Model Predictive Control
FPGA Implementation Framework for Explicit Hybrid Model Predictive Control Open
ACODS 2020, 6th Conference on Advances in Control and Optimization of Dynamical Systems, Chennai, INDE, 16-/02/2020 - 19/02/2020
View article: Offset-free Nonlinear Model Predictive Control of A Drum-boiler Pilot Plant
Offset-free Nonlinear Model Predictive Control of A Drum-boiler Pilot Plant Open
ACODS 2020, 6th Conference on Advances in Control and Optimization of Dynamical Systems, Chennai, INDE, 16-/02/2020 - 19/02/2020
View article: The role of trip lengths in control strategies and Macroscopic Fundamental Diagram traffic models
The role of trip lengths in control strategies and Macroscopic Fundamental Diagram traffic models Open
Mobil.TUM 2019, International Scientific Conference on Mobility and Transport , Munich, ALLEMAGNE, 11-/09/2019 - 12/09/2019
View article: Implementation and Analysis of Nonlinear Model Predictive Controller on Embedded Systems for Real-Time Applications
Implementation and Analysis of Nonlinear Model Predictive Controller on Embedded Systems for Real-Time Applications Open
ECC 2019, 18th European Control Conference, Naples, ITALIE, 25-/06/2019 - 28/06/2019
View article: Nonlinear Model Predictive Control to Reduce Network-Wide Traffic Emission
Nonlinear Model Predictive Control to Reduce Network-Wide Traffic Emission Open
WCTS 2019, 1st IFAC Workshop on Control of Transportation Systems , Haifa, ISRAEL, 30-/06/2019 - 01/07/2019
View article: Implementation and Analysis of Offset-Free Explicit Model Predictive Controller on FPGA
Implementation and Analysis of Offset-Free Explicit Model Predictive Controller on FPGA Open
It is well-known that the real-time implementation of Model Predictive Control (MPC) is cumbersome because of the huge burden of solving optimization problem on-line at each sample time. Due to this, MPC has been mainly restricted to proce…
View article: Reducing Memory Footprints in Explicit Model Predictive Control using Universal Numbers
Reducing Memory Footprints in Explicit Model Predictive Control using Universal Numbers Open
Explicit Model Predictive Control (MPC) is an effective alternative to reduce the on-line computational demand of traditional MPC. The idea of explicit MPC is to pre-compute the optimal MPC feedback law off-line and store it in a form of l…
View article: Teaching Classical and Advanced Control of Binary Distillation Column
Teaching Classical and Advanced Control of Binary Distillation Column Open
This paper deals with education of graduate and undergraduate students in the field of classical and advanced controllers. A pilot scale binary distillation column is utilized to serve the teaching purposes. The emphasis of the paper is to…
View article: FPGA Implementation of Explicit Model Predictive Control for Closed Loop Control of Depth of Anesthesia**The authors gratefully acknowledge the financial contribution of the Scientific Grant Agency of the Slovak Republic under grant 1/0403/15 and the contribution of the Slovak Research and Development Agency under the project APVV 0551-11. The research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme (FP7/2007-2013) under REA grant agreement no 607957 (TEMPO).
FPGA Implementation of Explicit Model Predictive Control for Closed Loop Control of Depth of Anesthesia**The authors gratefully acknowledge the financial contribution of the Scientific Grant Agency of the Slovak Republic under grant 1/0403/15 and the contribution of the Slovak Research and Development Agency under the project APVV 0551-11. The research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme (FP7/2007-2013) under REA grant agreement no 607957 (TEMPO). Open
In past years, many advanced control strategies on numerous embedded platforms have been proposed and investigated to evaluate the effects of drugs dosing during closed loop control of anesthesia for a patient undergoing surgery. In today'…
View article: Reachability Analysis and Control Synthesis for Uncertain Linear Systems in MPT∗∗The authors gratefully acknowledge the contribution of the Scientific Grant Agency of the Slovak Republic under the grants 1/0403/15 and 1/0973/12. The research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007-2013) under REA grant agreement no 607957 (TEMPO) and the internal grant of the Slovak University of Technology in Bratislava for support of young researchers.
Reachability Analysis and Control Synthesis for Uncertain Linear Systems in MPT∗∗The authors gratefully acknowledge the contribution of the Scientific Grant Agency of the Slovak Republic under the grants 1/0403/15 and 1/0973/12. The research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007-2013) under REA grant agreement no 607957 (TEMPO) and the internal grant of the Slovak University of Technology in Bratislava for support of young researchers. Open
Software tools play an important dissemination role by bringing cutting-edge theoretical algorithms into the hands of researchers and practitioners. This paper introduces a new robust analysis and control module of the Multi-Parametric too…