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
CONTROL