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Quantum robust control theory for Hamiltonian and control field uncertainty [PDF]
New Journal of Physics, 2021 Quantum robust control—which can employ fast leading order approximations, slower but more accurate asymptotic methods, or a combination thereof for quantification of robustness—enables control of moments of quantum observables and gates in the presence ...
Andrew Koswara +2 more
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Passive robust control for uncertain Hamiltonian systems by using operator theory
CAAI Transactions on Intelligence Technology, 2022 In this study, the passivity‐based robust control and tracking for Hamiltonian systems with unknown perturbations by using the operator‐based robust right coprime factorisation method is concerned.
Ni Bu +4 more
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Research on Control Strategy of Hamiltonian Theory for Large Telescope Based on SAPMSM [PDF]
IEEE AccessThe azimuth axis drive and control of large telescopes based on Segmented Arc Permanent Magnet Synchronous Motor (SAPMSM) is a current research hotspot, and issues such as unknown parameters and external interference are important factors affecting its ...
Xiaoli Song, Zhaojin Cao
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Stochastic Control for Intra-Region Probability Maximization of Multi-Machine Power Systems Based on the Quasi-Generalized Hamiltonian Theory [PDF]
Energies, 2019 With the penetration of renewable generation, electric vehicles and other random factors in power systems, the stochastic disturbances are increasing significantly, which are necessary to be handled for guarantying the security of systems.
Xue Lin, Lixia Sun, Ping Ju, Hongyu Li
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Port-Hamiltonian Theory of Motion Control for Marine Craft
IFAC Proceedings Volumes, 2010 Abstract Port-Hamiltonian Systems (PHS) have a particular form that incorporates explicitly a function of the total energy in the system (energy function) and also other functions that describe structure of the system in terms of energy distribution. For PHS, the product of the input and output variables gives the rate of energy change.
Alejandro Donaire, Tristán Pérez
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A family of virtual contraction based controllers for tracking of flexible‐joints port‐Hamiltonian robots: Theory and experiments [PDF]
International Journal of Robust and Nonlinear Control, 2020 SummaryIn this work, we present a constructive method to design a family of virtual contraction based controllers that solve the standard trajectory tracking problem of flexible‐joint robots in the port‐Hamiltonian framework. The proposed design method, called virtual contraction based control, combines the concepts of virtual control systems and ...
Rodolfo Reyes‐Báez +3 more
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2010 IEEE International Conference on Control Applications, 2010 The swing equations for renewable generators connected to the grid are developed and a wind turbine is used as an example. The swing equations for the renewable generators are formulated as a natural Hamiltonian system with externally applied non-conservative forces.
David G. Wilson
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Port-Controlled Hamiltonian and Sliding Mode Control of Gantry Robot Based on Induction Motor Drives
IEEE Access, 2018 A port-controlled Hamiltonian (PCH) control approach is presented to solve the position tracking problem of gantry robot based on induction motor (IM) drives. First, a robot model is established.
Bingkun Zhao +4 more
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Co-ordinated emergency control of generator-tripping and SMES based on Hamiltonian system theory
International Journal of Electrical Power & Energy Systems, 2005 This paper presents a novel scheme for the co-ordinated emergency control of generator-tripping control and Super-conducting Magnetic Energy Storage (SMES). The mathematical foundation of the scheme is based on the proposal of a new Lyapunov function of power systems transient stability analysis derived according to the Hamiltonian systems theory ...
Jiangnan Peng, Yuanzhang Sun, H.F. Wang
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IET Control Theory & Applications, 2012 The dynamics of many physical systems can be suitably described as the form of port-controlled Hamiltonian systems. Based on this, a number of control design methods have been successfully proposed and applied in both mechanical and electrical systems.
Fang Shi, Jianliang Wang
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