Syllabus
Unit 1
Concepts of Matrix Algebra and Vector Spaces (revision) – Solution of Simultaneous Equation for Squares – Under- Determined and Over-Determined Systems – Concepts of Basis Vector Transformations; Similarity and Adjoint Transformation – Eigen Values and Eigen Vectors: Canonical Forms, Jordon Forms, Characteristic Equations, Analytical Functions of Square Matrices, Cayley-Hamilton Theorem.
Unit 2
Concepts of State, State-Space and State-Vector – Mathematical Modes in the State Space Form – State Equation and High- Order Differential Equations – State Space Form for Aerospace Systems, for e.g., Dynamic Behavior of Aircraft, Missile, Satellites, INS., etc. – Solution of Homogenous State Equations.
Unit 3
Solution of Non-Homogenous State Equations – Controllability and Observability of Systems – Concepts of Output Feedback and Full State Feedback, Pole-Placement Design – Concept of an Observer – Basics of Optimal Control.
Objectives and Outcomes
Course Objectives
- To revisit vector spaces and matrix algebra and to explain basis vectors and span of vector
- Define terms: degeneracy, orthonormal sets, linear transformations and solution of simultaneous linear algebraic
- Derive state space equations and associated canonical forms, explain eigen values and eigen vectors, establish relation between transfer functions and state space forms.
- Apply Controllability and Observability criteria to state feedback and output feedback Execute arbitrary pole placement techniques and design State Observers.
Course Outcomes
CO1: Recall Matrix Algebra and Vector Spaces, Understand basis vectors, dimension & span of vector spaces.
CO2: Define degeneracy, orthonormal set, linear transformation, Change of basis and solve simultaneous linear algebraic equations.
CO3: Derive and understand State space equations, Canonical realizations, Relate Transfer function and State space form to obtain any one from the other.
CO4: Evaluate Eigen values and Eigen vectors, Analyse Functions of square matrices and Cayley-Hamilton theorem.
CO5: Apply Controllability & Observability criteria to State feedback and Output feedback systems.
CO6: Execute arbitrary Pole placement and design State Observers to reconstruct state variables.
CO-PO Mapping
PO/PSO |
PO1 |
PO2 |
PO3 |
PO4 |
PO5 |
PO6 |
PO7 |
PO8 |
PO9 |
PO10 |
PO11 |
PO12 |
PSO1 |
PSO2 |
PSO3 |
CO |
CO1 |
3 |
2 |
– |
2 |
2 |
– |
– |
– |
– |
– |
– |
1 |
– |
– |
3 |
CO2 |
3 |
2 |
– |
2 |
2 |
– |
– |
– |
– |
– |
– |
1 |
– |
– |
2 |
CO3 |
3 |
2 |
– |
2 |
2 |
– |
– |
– |
– |
– |
– |
1 |
1 |
– |
– |
CO4 |
2 |
3 |
– |
3 |
3 |
– |
– |
– |
– |
– |
– |
1 |
– |
– |
2 |
CO5 |
2 |
2 |
2 |
2 |
2 |
– |
– |
– |
– |
– |
– |
1 |
3 |
3 |
1 |
CO6 |
2 |
3 |
3 |
3 |
2 |
– |
– |
– |
– |
– |
– |
1 |
1 |
3 |
– |
Evaluation Pattern
Evaluation Pattern
Assessment |
Internal |
End Semester |
Midterm Exam |
30 |
|
*Continuous Assessment (CA) |
30 |
|
End Semester |
|
40 |
*CA – Can be Quizzes, Assignment, Projects, and Reports
Text Books / References
Text Book(s)
Friedland, B. “Control System Design”, illustrative edition, Dover publications, 2005.
Nise, Norman S. “Control Systems Engineering,” 8th Edition, Wiley, 2019.