Designing a Cruise Control System for a Motorcycle Parade
Create a robust system of your own (e.g., H2, H∞, μ, LMI, etc.) choice considering an uncertainty of 40% in the overall mass and a 20% shift in the damping coefficient.
- Duration
- 12 weeks
- Content
- 17 hours
- Projects
- 2
- Mode
- Online
- Fee
- ₹40,000
OverviewWhat you'll
What you'll
be able to do.
- This course provides insight into various concepts and tools used in the field related to robust control systems.
- It gives ideas right from the mathematical modeling of a given real-time application to time and frequency domain analysis, and design.
- It enables the learners to create a platform for designing robust control with research and industrial proficiency.
Tools you'll use
MATLABSimulink
Curriculum12 modules,
12 modules,
built with industry.
01Robust Controls
- Introduction and PreliminariesW01
- Motivation
- Engineering Background of Robust Control (RC) in Automobiles
- Real-World Applications
- Future Scope
- Refresher
- Basic Control Theory
- Fundamentals of Non-Linear and Linear Systems
- Stability of Linear Systems
- System Performance
- Stability in Control Theory
- Controllability and Observability
- Linear Algebra and Functional Analysis
- Mathematical Modeling
- Robust Control Fundamentals - Part IW02
- Time Domain Properties
- Frequency Domain Properties
- Stabilization of Linear Systems
- Optimization Theory
- Basics of Convex Analysis
- Linear Matrix Inequalities (LMIs)
- Robust Control Fundamentals - Part IIW03
- Algebraic Riccati Equations
- Limitations of Feedback Control
- Model Uncertainty
- Robust Analysis
- Small Gain Principle
- Lyapunov Method
- Robust Control of Parametric Systems
- Robust Control Fundamentals - Part IIIW04
- H2 Control
- H∞ Control
- Mixed H2/H∞ Control
- Implementation of Mass-Spring-Damper System in MATLAB/SimulinkW05
- Problem Statement
- Mathematical Modeling
- Controller Design
- Computer Simulations
- Implementation of Triple Inverted Pendulum in MATLAB/SimulinkW06
- Problem Statement
- Mathematical Modeling
- Controller Design
- Computer Simulations
- Advanced Robust Control - Part IW07
- μ Synthesis
- Regional Pole Placement
- Gain Scheduled Control
- Youla-Kucera Parameterization
- Disturbance Observers
- Advanced Robust Control - Part IIW08
- Repetitive Control for Time-Delayed Systems
- H∞ Loop Shaping Control
- Integral Quadratic Constraint (IQC) Control
- Implementation of Robust Control of Gantry Crane System in MATLAB/SimulinkW09
- Problem Statement
- Mathematical Modeling
- Controller Design
- Computer Simulations
- Implementation of Aircraft Model in MATLAB/SimulinkW10
- Problem Statement
- Mathematical Modeling
- Controller Design
- Computer Simulations
- Implementation of Robust DC Motor Design in MATLAB/SimulinkW11
- Problem Statement
- Mathematical Modeling
- Controller Design
- Computer Simulations
- Future ScopeW12
- Robust MPC
- Robust Adaptive Control
- Robust Passivity-Based Control
- Robust Game Theory
- Robust Neural Networks
- Robust MPC
- Introduction and PreliminariesW01
Industry projects2 projects
2 projects
you'll ship.
Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.
Implementation of Disturbance Observer for a Quanser QUBE Setup
Designing a band-pass filter and implementing the overall design in MATLAB.
FeeOne fee.
One fee.
Everything included.
Become job ready with our comprehensive industry focused curriculum for freshers & early career professionals
Premium
₹40,000
Inclusive of all charges- 1 Year Access
- Personalized Page
- Live Individual & Group Sessions
- Personalized & Hands-On
- Job-Oriented Industry Relevant Curriculum
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