Library

Here is a list of some of the quotes and published works that inspire my research.

Quotes

“What would Tadashi Hamada do?”
“All models are wrong, but some are useful” - George E. P. Box
“Anything that can go wrong will go wrong” - Murphy’s Law
“Sometimes proving things in control theory is like playing Pokemon. You could try and catch them all, but that’s not really the point.” - Andrew Taylor
“Just because the result is correct, it does not mean it should be published” - Magnus Egerstedt
“Code is cheap, show me the hardware” - Magnus Egerstedt
“Ultimately, a PhD is an acadedmic program. It’s goal is not to produce research it is to produce researchers. If you come in everyday and learn something knew, then you’re succeeding” - Raffaello D’Andrea

Convex Optimization. Stephen Boyd and Lieven Vandenberghe. 2004.
Feedback Systems: An introduction for Scientists and Engineers. Karl Johan Astrom and Richard Murray. 2010.
Viability Theory: New Directions. Jean-Pierre Aubin, et al. 2011.
Nonlinear Systems. Hassan Khalil. 2002.
Probabilistic Robotics. Sebastian Thrun, Wolfram Burgard, Dieter Fox. 2005.
Probability and Random Processes. Geofrrey Grimmet, David Stirzaker. 1982.
Predictive Control for Linear and Hybrid Systems. Francesco Borrelli, Alberto Bemporad, Manfred Morari. 2017.

Control Barrier Functions (CBFs)
- Control Barrier Function Based Quadratic Programs for Safety Critical Systems. Aaron Ames, et al. 2017.
- Characterizing Safety: Minimal Barrier Functions from Scalar Comparison Systems. Rohit Konda, et al. 2019.
- Nonsmooth Barrier Functions with Applications to Multi-Robot Systems. Paul Glotfelter, et al. 2017.
- Exponential Control Barrier Functions for Enforcing High Relative-Degree Safety-Critical Constraints. Quan Hguyen and Koushil Sreenath. 2016.
Robust Nonlinear Control
- Input to State Stability: Basic Concepts and Results. Eduardo D Sontag. 2008.
- Input-to-State Safety with Control Barrier Functions. Shishir Kolathaya and Aaron Ames. 2018.
Set Invariance
- Über die Lage der Integralkurven gewöhnlicher Differentialgleichungen. Mitio Nagumo. 1942.
- The theorems of Bony and Brezis on Flow-Invariant Sets. RM Redheffer. 1972.
Preference Based Learning
- Preference-based Learning for Exoskeleton Gait Optimization. Maegan Tucker, et al. 2020.
Imitation Learning
- Agile Autonomous Driving Using End-to-End Deep Imitation Learning. Yunpeng Pan, et al. 2019.
Linear Control
- Guaranteed Margins for LQG Regulators. John Doyle. 1978.8