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)
|
| Module 2 : |
Advanced Linear Algebra: (8 hours)
|
| Module 3 : |
Algebra1(4 hours):
|
| Module 4 : |
MID SEMESTER EXAMINATION |
| Module 5 : |
Algebra2 (4 hours):
|
| Module 6 : |
Differential Geometry(8 hours)
|
| Module 7 : |
Advanced Differential Geometry (8 hours)
|
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 |



