This course on Control Systems Engineering is the perfect way to gain a deeper understanding of the concepts and principles of this field. From basics of systems, linear and non-linear systems, time variant and time invariant systems, Laplace transforms, transfer functions, block diagrams, time response analysis, poles and zeroes, steady state error, error constants, stability analysis and relative stability plots, this course covers it all. It is ideal for those preparing for competitive exams like GATE, ESE, and for those who want to become a Control Systems Engineer and design, develop and implement solutions for dynamic systems. So don't wait any longer, join this course and get started on your journey to becoming a Control Systems Engineer.
Modern control and state space representation
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This course is perfect for students who have completed their classical control course and are looking to take the next step. Modern Control and State Space Representation covers topics such as modeling of mass spring systems, transfer functions and Laplace transforms, state space representation, CCF & OCF, cascade and parallel realization, controllability and observability, state feedback, output feedback, and a recap on stability, eigenvalues and eigenvectors. Through lectures and tutorials, students will gain a comprehensive understanding of the concepts and be able to solve problems based on the lectures. Sign up now to take your control knowledge to the next level!
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