cmeissen.com

Chris Meissen

I am a Ph.D. candidate in Mechanical Engineering at the University of California, Berkeley. My advisor is Dr. Andy Packard and I work in the Berkeley Center for Control and Identification (BCCI). My primary research interests are analysis and control of distributed systems, uncertainty quantification, and large-scale optimization. My minors are in Mathematics and Optimization. A vehicle dynamics consulting and software development company. Stability and performance certification of large dynamical systems.

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Chris Meissen | cmeissen.com Reviews

<META> DESCRIPTION

I am a Ph.D. candidate in Mechanical Engineering at the University of California, Berkeley. My advisor is Dr. Andy Packard and I work in the Berkeley Center for Control and Identification (BCCI). My primary research interests are analysis and control of distributed systems, uncertainty quantification, and large-scale optimization. My minors are in Mathematics and Optimization. A vehicle dynamics consulting and software development company. Stability and performance certification of large dynamical systems.

<META> KEYWORDS

1 education

2 research

3 teaching

4 chris meissen

5 uc berkeley engineering

6 about me

7 technical interests

8 honors

9 colorado graduate grant

10 resume

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Chris Meissen | cmeissen.com Reviews

https://cmeissen.com

I am a Ph.D. candidate in Mechanical Engineering at the University of California, Berkeley. My advisor is Dr. Andy Packard and I work in the Berkeley Center for Control and Identification (BCCI). My primary research interests are analysis and control of distributed systems, uncertainty quantification, and large-scale optimization. My minors are in Mathematics and Optimization. A vehicle dynamics consulting and software development company. Stability and performance certification of large dynamical systems.

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cmeissen.com

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Chris Meissen - Education

http://www.cmeissen.com/Education

PhD Mechanical Engineering - University of California, Berkeley. Minors: Mathematics and Optimization. ME 232 and ME 233: Linear Systems and Optimal Control. ME 237 and EE 222: Nonlinear Control and Nonlinear System Analysis. EECS 291E and ME 290M: Hybrid Systems and Model Predictive Control. EECS 223 and EECS 226a: Stochastic Control and Random Processes. EECS 227b and EECS 227c: Convex Optimization Theory and Algorithms. Math 104 and 202a: Topology and Analysis. Simulation tools for nonlinear systems.

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Chris Meissen - Teaching

http://www.cmeissen.com/Teaching

Graduate Student Instructor, University of California at Berkeley. Supervisors: Dr. Andrew Packard, Dr. Panos Papadopoulos, and Dr. Roberto Horowitz. E7: Introduction to Computer Programming for Scientists and Engineers. Awarded Berkeley Outstanding Graduate Student Instructor Award. Developed an autograder and assignments for online course offering. R&D Engineer, OptimumG. Created and presented seminars on vehicle dynamics, simulation, dampers, and data acquisition. Supervisor: Dr. Dave Alciatore.

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Berkeley Center for Control and Identification-People

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Xin Hua Yang (1995).

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Berkeley Center for Control and Identification-People

https://jagger.me.berkeley.edu/people.html

Xin Hua Yang (1995).

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