National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

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Syllabus

Course Details

Subject {L-T-P / C} : EE6311 : Mathematical Methods for Control { 3-0-0 / 3}

Subject Nature : Theory

Coordinator : Shubhobrata Rudra

Syllabus

Module 1 :

Basic Linear Algebra:(8 hours)
Vector Spaces & Linear Maps, Eigenvalue Decompositions, Matrix Norms & Perturbation Theory, Singular Value Decomposition (SVD), Lyapunov Equations, Kronecker Products & Matrix Equations, Non-Negative Matrices, Generalized Inverses. (Linked to CO1)

Module 2 :

Advanced Linear Algebra: (8 hours)
QR/Schur Decompositions, Structured Matrices, Convex Sets & Functions, Semidefinite Programming, Tensor Decompositions, Randomized Linear Algebra, Koopman Operator Theory, Learning-Based Control. (Linked to CO2, CO3)

Module 3 :

Algebra1(4 hours):
Set, Topllogical properties of Set, Algebraic Group: Groups & Symmetry, Rings & Modules, Field Extensions, (linked to CO4)

Module 4 :

MID SEMESTER EXAMINATION

Module 5 :

Algebra2 (4 hours):
Algebraic Geometry, Matrix Rings & Factorization, Algebraic Invariants, (linked to CO4)

Module 6 :

Differential Geometry(8 hours)
Manifolds & Smooth Maps, Tangent Bundles & Vector Fields, Cotangent Bundles & 1-Forms, Lie Derivatives, Distributions & Frobenius Theorem, Lie Groups & Algebras, Lie Brackets & Controllability, Differential Forms. (linked to CO 5)

Module 7 :

Advanced Differential Geometry (8 hours)
Affine Connections, Riemannian Metrics, Hamiltonian Mechanics, Feedback Linearization, Disturbance Decoupling, Differential Flatness, Geometric Control Synthesis

Course Objective

1 .

To provide a foundational understanding of linear algebra principles, including vector spaces, decompositions, and matrix equations, essential for analyzing linear systems in control engineering.

2 .

To develop proficiency in advanced linear algebra techniques, encompassing optimization methods, tensor decompositions, and randomized algorithms, for practical engineering applications.

3 .

To introduce abstract algebraic structures, such as groups, rings, and field extensions, with an aim to enhance modeling and robustness aspects in dynamic systems,

4 .

To explore differential geometry concepts, including manifolds, tangent structures, and Lie derivatives, for the analysis of nonlinear flows and controllability.

5 .

To equip students with skills in geometric control synthesis, incorporating feedback mechanisms and Hamiltonian mechanics, for modern applications in robotics and dynamics.

Course Outcome

1 .

Demonstrate proficiency in matrix theory and decompositions to solve linear systems and assess system stability.

2 .

Implement advanced decompositions and optimization methods for practical engineering problems.

3 .

Apply abstract algebraic concepts to model and ensure robustness in control systems.

4 .

Utilize differential geometry principles to analyze manifolds, flows, and nonlinear control synthesis techniques.

5 .

Synthesize geometric control strategies for nonlinear and modern applications in robotics and dynamics.

Essential Reading

1 .

Gilbert Strang , Linear Algebra and Its Applications, Wellesley-Cambridge Press. ISBN: 978-0980232776. , https://math.mit.edu/~gs/linearalgebra/ila5/ILA5_Complete_150.pdf (MIT OpenCourseWare resource).

2 .

Griffiths, P., & Harris, J., Principles of Algebraic Geometry (Reprint of 1978 ed.), Wiley-Interscience. ISBN: 978-0471050599 , https://agorism.dev/book/math/ag/griffiths_phillip_harris_joseph-principles-of-algebraic-geometry-wiley.pdf.

3 .

Bullo, F., & Lewis, A. D., Geometric Control of Mechanical Systems: Modeling, Analysis, and Design for Simple Mechanical Control Systems, Springer. ISBN: 978-0-387-22195-3 , https://fbullo.github.io/gcms/#downloads

4 .

Agrachev, A. A., & Sachkov, Y. L., ontrol Theory from the Geometric Viewpoint, Springer. ISBN: 978-3-540-21037-4. , https://www.researchgate.net/profile/Yuri-Sachkov/publication/243787858_Control_Theory_from_the_Geometric_Viewpoint/links/5a1682b0aca272dfc1ed0720/Control-Theory-from-the-Geometric-Viewpoint.pdf. 9 web pages

Supplementary Reading

1 .

Sontag, E.D. , Mathematical Control Theory: Deterministic Finite Dimensional Systems, Springer. ISBN: 978-1-4612-0577-7 , http://www.sontaglab.org/FTPDIR/sontag_mathematical_control_theory_springer98.pdf.

2 .

Axler, S., Linear Algebra Done Right, Springer. ISBN: 978-3031410253. , https://linear.axler.net/LADR4e.pdf

3 .

Roman, S., Advanced Linear Algebra, Springer. ISBN: 978-0387728285. , https://s2pnd-matematika.fkip.unpatti.ac.id/wp-content/uploads/2019/03/Graduate-Texts-in-Mathematics-135-Steven-Roman-Advanced-Linear-Algebra-Third-Edition-Graduate-Texts-in-Mathematics-Springer-2008.pdf.

Journal and Conferences

1 .

https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=9

2 .

https://www.sciencedirect.com/journal/automatica

3 .

https://epubs.siam.org/journal/sjcodc

4 .

https://epubs.siam.org/journal/sjaday