The Net Advance of Physics

The Net Advance of Physics:
CONTROL

General:
- Optimization on linear matrix inequalities for polynomial systems control by Didier Henrion [2013/05]
- Algebraic background for numerical methods, control theory and renormalization by Dominique Manchon [2015/01]
- An Introduction to the Krylov Subspace Method by Shitao Fan [2018/11]
- Linear Matrix Inequality Properties and Applications in Systems, Stability, and Control Theory by Ryan James Caverly and James Richard Forbes [2019/03]
- Controllability and Vector Potential: Six Lectures at Steklov by Shiva Shankar [2019/11]
- Lecture notes on control system theory and design by T. Basar et al. [2020/06]
- A concise introduction to control theory for stochastic partial differential equations by Q. Lü and X. Zhang [2021/01]
Type: FUNNEL:
- Funnel control: A survey by T. Berger et al. [2023/10]
Type: GEOMETRICAL:
- Geometric Optimal Control and Applications to Aerospace by Jiamin Zhu et al. [2017/01]
- Introduction to Geometric Control by Yuri Sachkov [2019/03]
Type: QUANTUM:
- Quantum Optimal Control Theory by Jan Werschnik and E.K.U. Gross [2007/07]
- Quantum Control Landscapes by Raj Chakrabarti and Herschel Rabitz [Int'l Reviews Phys. Chem. 26, 671 (2007)]
- Lie Algebraic Analysis and Control of Quantum Dynamics by Domenico D'Alessandro [2008/03]
- Quantum control theory and applications: A survey by Daoyi Dong and Ian R Petersen [2009/10]
- Control of quantum phenomena: Past, present, and future by Constantin Brif et al. [2009/12] 68 pp.
- Quantum Feedback Networks and Control: A Brief Survey by Guofeng Zhang and Matthew R. James [2012/01]
- Feedback control in quantum optics: an overview of experimental breakthroughs and areas of application by Alessio Serafini [2012/10]
- Modeling and Control of Quantum Systems: An Introduction by Claudio Altafini and Francesco Ticozzi [IEEE Transactions on Automatic Control 57, 1898 (2012)]
- Quantum feedback: theory, experiments, and applications by Jing Zhang et al. [2014/07]
- Quantum speed limits: from Heisenberg's uncertainty principle to optimal quantum control by Sebastian Deffner and Steve Campbell [2017/05]
- An introduction into optimal control for quantum technologies by F. K. Wilhelm et al. [2020/03]
- Introduction to the foundations of quantum optimal control by U. Boscain et al. [2020/10] esp. Pontryagin maximum principle.
- Quantum control in open and periodically driven systems by S.-Y. Bai et al. [2021/01]
- Quantum Control for Nanoscale Spectroscopy With Diamond Nitrogen-Vacancy Centers: A Short Review by S. Hernández-Gómez and N. Fabbri [2021/02]
- Linear quantum [control] systems: A tutorial by G.-F. Zhang and Z.-Y. Dong [2022/05]
- Quantum computing through the lens of control by J. Berberich and D. Fink [2023/10]
- Introduction to theoretical and experimental aspects of quantum optimal control by Q. Ansel et al. [2024/03]
Type: STOCHASTIC:
- A Mini-Course on Stochastic Control by Qi Lu and Xu Zhang [2016/12]
- A concise introduction to control theory for stochastic partial differential equations by Q. Lü and X. Zhang [2021/01]
- Handbook of convergence theorems for (stochastic) gradient methods by G. Garrigos and R. M. Gower [2023/01]
Aspect: DOUGLAS--RACHFORD METHOD:
- Sixty Years of Douglas--Rachford by Scott B. Lindstrom and Brailey Sims [2018/09]
Re: AEROSPACE:
- Geometric Optimal Control and Applications to Aerospace by Jiamin Zhu et al. [2017/01]
Re: BIOLOGICAL MOLECULES: Frey et al. 98/08;
Re: LINKAGES:
- A Survey on the Theory of Bonds [i.e. mechanical linkages] by Zija Li et al. [IMA Journal of Mathematical Control and Information 35, 279 (2018)]
Re: ROBOTS: Martinez et al. 2002/09;
Re: NETWORKS:
- Control Principles of Complex Networks by Yang-Yu Liu and Albert-Laszló Barabási [2015/08]
Re: NON-CONVEXITY MEASURES:
- An overview of optimal control optimization problems driven by non-convexity measures by WX Wang [2020/12]
Re: SEQUENCES:
- Convergence of sequences: A survey by B. Franci and S. Grammatico [2021/11]
Re: SOLUTIONS: Frey et al. 98/08;
Re: STATISTICAL PHYSICS: Frey et al. 98/08;

THE NET ADVANCE OF PHYSICS