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Mechanical and Aerospace Engineering Non-thesis Masters Degree in
Dynamics, Systems and Controls
The Department of Mechanical and Aerospace Engineering at the University of Florida is pleased to offer a distance learning Masters Degree program, Dynamics and Controls, which provides a concentration in fundamental theory and analysis techniques applied to dynamical systems and their associated control. This program is specially designed to meet the unique needs of engineering students working in a corporate environment who desire to develop advanced skills and problem solving capabilities related to dynamics, control, and robots.
Students completing the program will be exposed to in depth treatment of both linear and non-linear dynamics. Students will gain insight on the development of robust control algorithms and learn strategies for control of non-linear systems. Students will also learn to apply these analysis techniques to the development of robots.
The Mechanical and Aerospace Engineering faculty offering the distance learning program are renowned researchers in dynamics, control, and robots and tailor lectures to the most modern engineering concepts. Engineers who complete the Dynamics and Controlprogram will gain confidence in the use of state-of-the-art engineering analysis tools for the analysis of dynamical systems and their control.
Fall
EML 5215 Analytical Dynamics I (3)
Analytical methods of statics and dynamics. Principle of virtual work, holonomic
and nonholonmic constraints. Lagrange equations for constrained and unconstrained
systems, conservation laws, stability analysis by perturbation about steady state, Jacobi
first integral, and generalized impulse and momentum.
EML 6281 Geometry of Mechanisms and Robots I (3)
Development of applications to basic theory of the mathematics required in the design of
spatial mechanisms and robot arms. Examples include mathematical description of the
elements of mechanisms and robot arms, namely linkages and joints, their mobility and
their analysis.
EGM 6321 Principles of Engineering Analysis I (3)
Solution of linear and nonlinear ordinary differential equations. Methods of Frobenius,
Classification of singularities. Integral representation of solutions. Treatment of the Bessel, Hermite, Legendre, hypergeometric, and Mathieu equations. Asymptotic methods
including the WBK and saddle point techniques. Treatment of nonlinear autonomous
equations. Phase plane trajectories and limit cycles. Thomas-Fermi, Emden, and van der Pol equations.
EGM 6341 Numerical Methods of Engineering Analysis I (3)
Finite-difference calculus; interpolation and extrapolation; roots of equations; solution
of algebraic equations; eigenvalue problems; least-squares method; quadrature formulas; numerical solution of ordinary differential equations; methods of weighted residuals. Use of digital computer.
Spring
EML 5311 Control System Theory (3)
Analysis of dynamic mechanical engineering control systems. Introduction to classical,
digital, and state space techniques. Modeling, stability, transient response, frequency
response. Implementation consideration.
EML 5223 Structural Dynamics (3)
Vibration analysis and synthesis of continuous and multidegree of freedom lumped
parameter systems. Computational and experimental techniques in modal analysis.
EGM 6934 Robust Control Synthesis (3)
Error effects on feedback control. Uncertainty types and representations;
model validation; magnitude and bandwidth of weighting functions. Design
tradeoff between performance and stability; mu synthesis; DGK iteration;
model reduction; gain scheduling.
EAS 6939 Nonlinear Control (3)
This course is developed as an introduction to nonlinear control. The course
begins with a review of Linear Time-Invariant Control as a method to introduce the
differences between linear and nonlinear control design and analysis. A brief
introduction to phase-plane analysis provides a graphical understanding of some
of the elements that characterize nonlinear behavior. The bulk of the course is
then devoted to Lyapunov-based methods to design and analyze nonlinear control
systems. Topics include: Autonomous and Nonautonomous Systems, Integrator
Backstepping, Input-Output Stability, Input-to-State Stability, Feedback Linearization,
Observers and Filters, and Robust and Adaptive Control. The content will be
mathematical with illustrative examples taken from general engineering systems.
Prerequisites for the course include an understanding of undergraduate calculus,
linear algebra, and linear control methods. The student is also expected to be
able to use some simulation software (e.g., Matlab).
Summer
EGM 6341 Numerical Methods of Engineering Analysis I (3)
Finite-difference calculus; interpolation and extrapolation; roots of equations; solution
of algebraic equations; eigenvalue problems; least-squares method; quadrature formulas; numerical solution of ordinary differential equations; methods of weighted residuals. Use of digital computer.
Plus two courses selected from any graduate course in the College of Engineering curriculum in Consultation with advisor |
