Extensions to an optimization-based multivariable model reduction method. - Aivar Sootla; Anders Rantzer (ECC, 2009)

Multivariable Optimization-Based Model Reduction. - Aivar Sootla; Anders Rantzer; Georgios Kotsalis (IEEE Trans. Autom. Control., 2009)

Frequency domain model reduction method for parameter-dependent systems. - Aivar Sootla; Kin Cheong Sou (ACC, 2010)

Hankel-type model reduction based on frequency response matching. - Aivar Sootla (CDC, 2010)

Convenient representations of structured systems for model order reduction. - Aivar Sootla; Anders Rantzer (ACC, 2012)

Scalable positivity preserving model reduction using linear energy functions. - Aivar Sootla; Anders Rantzer (CDC, 2012)

Model Order Reduction Based on Semidefinite Programming. - Aivar Sootla (2012)

On periodic reference tracking using batch-mode reinforcement learning with application to gene regulatory network control. - Aivar Sootla; Natalja Strelkowa; Damien Ernst; Mauricio Barahona; Guy-Bart Stan (CDC, 2013)

Parametrized model reduction based on semidefinite programming. - Aivar Sootla; Kin Cheong Sou; Anders Rantzer (Autom., 2013)

Toggling a Genetic Switch Using Reinforcement Learning - Aivar Sootla; Natalja Strelkowa; Damien Ernst; Mauricio Barahona; Guy-Bart Stan (CoRR, 2013)

Semidefinite Hankel-Type Model Reduction Based on Frequency Response Matching. - Aivar Sootla (IEEE Trans. Autom. Control., 2013)

On projection-based model reduction of biochemical networks part I: The deterministic case. - Aivar Sootla; James Anderson 001 (CDC, 2014)

On projection-based model reduction of biochemical networks part II: The stochastic case. - Aivar Sootla; James Anderson 001 (CDC, 2014)

Distributed Reconstruction of Nonlinear Networks: An ADMM Approach. - Wei Pan 004; Aivar Sootla; Guy-Bart Stan (CoRR, 2014)

Shaping Pulses to Control Multi-Stable Biological Systems. - Aivar Sootla; Diego A. Oyarzún; David Angeli; Guy-Bart Stan (CoRR, 2014)

Nu-Gap Model Reduction in the Frequency Domain. - Aivar Sootla (IEEE Trans. Autom. Control., 2014)

On monotonicity and propagation of order properties. - Aivar Sootla (ACC, 2015)

On optimisation programmes with hidden convexity. - Aivar Sootla (ACC, 2015)

Shaping pulses to control bistable biological systems. - Aivar Sootla; Diego A. Oyarzún; David Angeli; Guy-Bart Stan (ACC, 2015)

Properties of Eventually Positive Linear Input-Output Systems. - Aivar Sootla; Alexandre Mauroy (CoRR, 2015)

Estimation of Isostables and Basins of Attraction of Monotone Systems. - Aivar Sootla; Alexandre Mauroy (CoRR, 2015)

On existence of solutions to structured lyapunov inequalities. - Aivar Sootla; James Anderson 001 (ACC, 2016)

Properties of isostables and basins of attraction of monotone systems. - Aivar Sootla; Alexandre Mauroy (ACC, 2016)

Construction of max-separable Lyapunov functions for monotone systems using the Koopman operator. - Aivar Sootla (CDC, 2016)

Shaping pulses to control bistable systems: Analysis, computation and counterexamples. - Aivar Sootla; Diego A. Oyarzún; David Angeli; Guy-Bart Stan (Autom., 2016)

Shaping Pulses to Control Bistable Monotone Systems Using Koopman Operator. - Aivar Sootla; Alexandre Mauroy; Jorge Gonçalves 002 (CoRR, 2016)

Block-diagonal solutions to Lyapunov inequalities and generalisations of diagonal dominance. - Aivar Sootla; Yang Zheng 001; Antonis Papachristodoulou (CDC, 2017)

An Optimal Control Formulation of Pulse-Based Control Using Koopman Operator. - Aivar Sootla; Alexandre Mauroy; Damien Ernst (CoRR, 2017)

Structured Projection-Based Model Reduction With Application to Stochastic Biochemical Networks. - Aivar Sootla; James Anderson 001 (IEEE Trans. Autom. Control., 2017)

Geometric Properties of Isostables and Basins of Attraction of Monotone Systems. - Aivar Sootla; Alexandre Mauroy (IEEE Trans. Autom. Control., 2017)

Scalable analysis of linear networked systems via chordal decomposition. - Yang Zheng 001; Maryam Kamgarpour; Aivar Sootla; Antonis Papachristodoulou (ECC, 2018)

Optimal control formulation of pulse-based control using Koopman operator. - Aivar Sootla; Alexandre Mauroy; Damien Ernst (Autom., 2018)

Operator-Theoretic Characterization of Eventually Monotone Systems. - Aivar Sootla; Alexandre Mauroy (IEEE Control. Syst. Lett., 2018)

Pulse-Based Control Using Koopman Operator Under Parametric Uncertainty. - Aivar Sootla; Damien Ernst (IEEE Trans. Autom. Control., 2018)

Block Factor-Width-Two Matrices in Semidefinite Programming. - Aivar Sootla; Yang Zheng 001; Antonis Papachristodoulou (ECC, 2019)

Mitigating Biological Signalling Cross-talk with Feedback Control. - Harrison Steel; Aivar Sootla; Nicolas Delalez; Antonis Papachristodoulou (ECC, 2019)

Improving Orthogonality in Two-Component Biological Signalling Systems Using Feedback Control. - Harrison Steel; Aivar Sootla; Benjamin Smart; Nicolas Delalez; Antonis Papachristodoulou (IEEE Control. Syst. Lett., 2019)

On the Existence of Block-Diagonal Solutions to Lyapunov and ${ mathcal {H}_ infty }$ Riccati Inequalities. - Aivar Sootla; Yang Zheng 001; Antonis Papachristodoulou (IEEE Trans. Autom. Control., 2020)

Distributed Design for Decentralized Control Using Chordal Decomposition and ADMM. - Yang Zheng 001; Maryam Kamgarpour; Aivar Sootla; Antonis Papachristodoulou (IEEE Trans. Control. Netw. Syst., 2020)

Implicit Variational Conditional Sampling with Normalizing Flows. - Vincent Moens; Aivar Sootla; Haitham Bou-Ammar; Jun Wang 012 (CoRR, 2021)

DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention. - David Mguni; Joel Jennings; Taher Jafferjee; Aivar Sootla; Yaodong Yang 001; Changmin Yu; Usman Islam; Ziyan Wang; Jun Wang 012 (CoRR, 2021)

Reinforcement Learning in Presence of Discrete Markovian Context Evolution. - Hang Ren; Aivar Sootla; Taher Jafferjee; Junxiao Shen; Jun Wang 012; Haitham Bou-Ammar (ICLR, 2022)

Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. - Aivar Sootla; Alexander I. Cowen-Rivers; Taher Jafferjee; Ziyan Wang; David Henry Mguni; Jun Wang 012; Haitham Ammar (ICML, 2022)

Enhancing Safe Exploration Using Safety State Augmentation. - Aivar Sootla; Alexander I. Cowen-Rivers; Jun Wang 012; Haitham Bou-Ammar (NeurIPS, 2022)

SEREN: Knowing When to Explore and When to Exploit. - Changmin Yu; David Mguni; Dong Li 016; Aivar Sootla; Jun Wang 012; Neil Burgess (CoRR, 2022)

Structured Q-learning For Antibody Design. - Alexander I. Cowen-Rivers; Philip John Gorinski; Aivar Sootla; Asif Khan 008; Furui Liu; Jun Wang 012; Jan Peters 001; Haitham Bou-Ammar (CoRR, 2022)

SAMBA: safe model-based & active reinforcement learning. - Alexander I. Cowen-Rivers; Daniel Palenicek; Vincent Moens; Mohammed Amin Abdullah 001; Aivar Sootla; Jun Wang 012; Haitham Bou-Ammar (Mach. Learn., 2022)

Estimation of Regions of Attraction with Formal Certificates in a Purely Data-Driven Setting. - Alexandre Mauroy; Aivar Sootla (CDC, 2023)

Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. - David Henry Mguni; Aivar Sootla; Juliusz Ziomek; Oliver Slumbers; Zipeng Dai; Kun Shao; Jun Wang 012 (ICLR, 2023)

Diagnosing and Preventing Instabilities in Recurrent Video Processing. - Thomas Tanay; Aivar Sootla; Matteo Maggioni; Puneet K. Dokania; Philip H. S. Torr; Ales Leonardis; Gregory G. Slabaugh (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Block Factor-Width-Two Matrices and Their Applications to Semidefinite and Sum-of-Squares Optimization. - Yang Zheng 001; Aivar Sootla; Antonis Papachristodoulou (IEEE Trans. Autom. Control., 2023)