Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The Model Predictive Control: Theory and Applications certification syllabus will give the candidates an overview of MPC. It covers both theories as well as all the practical applications. For some of the modules, the course also offers MATLAB hand-based learning. The candidates will be able to understand and solve all the advanced control problems.
The aspirants will become aware of the practical and industrial relevance. The course focuses on the multiple aspects of the implementation of MPC. The course extensively covers all the system models so that the candidates have smooth and better learning.
The Model Predictive Control: Theory and Applications online course also offers the participants certification for their remarkable journey of learning. The experts also provide experience on the tools so that the candidates are able to easily implement the learning whenever they are exposed to the industry. The state estimation has been broadly explained so that the candidates do not face any problem understanding the same.
The Highlights
- Course is free of cost
- Verified course
- Elective course
- 12 weeks course duration
- Level, of course, is postgraduate
- Course offered by Swayam
- Certificate is provided in association with IIT Madras and NPTEL
Programme Offerings
- Quiz
- video lectures
- assessments
- tests
- audio lectures
- Online discussion forum
- Books
- References.
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 1000 | yes | IIT Madras (IITM) |
- The candidates must take the Model Predictive Control: Theory and Applications certification free of cost.
- For candidates seeking certification, the candidates must pay Rs. 1,000 as end term.
Model Predictive Control: Theory and Applications fees detail -
Fees Category | Amount in Rs. |
Registration fees | Free |
Examination fees for certification | Rs. 1000 |
Eligibility Criteria
Education
The candidates must have knowledge of undergraduate maths especially linear algebra and any of the following Model Predictive Control: Theory and Applications certification course: process control; control engineering/ systems and digital control.
Certification Qualifying Details
The candidates must give the end term exam for receiving a Model Predictive Control: Theory and Application certification benefits. The course has a total of 12 assignments, out of which the best of 8 will be considered. The candidates must take out the average of the 8 assignments.
The candidates must score at least 25% in the assignments and 75% at the end term exam. The candidate must fulfill both the criteria for receiving certification. If the candidates fail to submit the assignment, they would not be able to get the certificate.
What you will learn
- The candidates will be acquiring learning on model stability; observability and controllability and representing uncertainty.
- During the Model Predictive Control: Theory and Applications online course the candidates will be taught linear control; pole placement as well as stability.
- The aspirants will be learning about the finite impulse and the models of the step response.
- The course also offers education on the theory of constrained LQ control and its implementation.
- The aspirants will be gaining insights on the Kalman filter; stochastic filtering theory.
- The candidates will be acquiring knowledge on the historical insight into MPC.
- The course also offers the concept of receding horizons in MPC and its practical implementation.
- The Model Predictive Control: Theory and Applications certification benefits offer hands-on learning using practically relevant examples.
- The candidates will be taught to discuss tools for model building for MPC.
- The candidates will be discussing challenges and opportunities in research as well as industrial applications.
Who it is for
Model Predictive Control: Theory and Applications training will be enhancing the skills of the following candidates:
- Candidates looking forward to the knowledge of Model Predictive Control: Theory and Applications by Swayam can take the course.
- Students of the post-graduates, final year UG and industry or research professionals can also register for the mentioned training.
Admission Details
Participants must go through the steps below to enrol in the Model Predictive Control: Theory and Applications training.
Step 1: The aspirants must browse the link mentioned below.
https://onlinecourses.nptel.ac.in/noc21_ge01/preview
Please note: As of now, candidates cannot apply to this programme as it is ongoing. Once, the registration opens, they can then apply for it.
The Syllabus
- Finite impulse and step response models
- Model prediction
- Parameter estimation
- State-space models
- Transfer function models
- Model transformation
- Model stability
- Observability and controllability Representing uncertainty
- White, colored and integrating noise
- Step-response based MPC
- State observer
- Pole placement; Stability
- Kalman Filter
- Stochastic filtering theory
- Linear control
- Pole placement
- Stability
- LQ control theory
- Constrained LQ control theory
- State-space MPC
- Deterministic formulation
- State feedback control
- Separation principle
- Implementation of output feedback MPC
- Nonlinear systems
- Multi-rate system
- Inferential control