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State transfer based on decoherence-free target state by lyapunov-based control

控制理论与应用（英文版） 2012年第4期10卷 549-553页

作者： Jie YANG Shuang CONG Fei YANG Department of Automation University of Science and Technology of China

We propose a lyapunov-based control approach for state transfer based on the decoherence-free target state. The expected target state is constructed to be a decoherence-free state in a decoherence-free subspace （DFS） by an external laser field I, so that the system state can be decoupled from the environment, and no more decoherence process will occur. With the decoherence-free target state, we design a lyapunov-based control field II to steer the given initial state to the decoherence-free state of open quantum systems as completely as possible, and decouple the system state from the environment at the same time. In the end, it is verified that the state transfer control designed comes true on a A-type four-level atomic system, and the system can stay on the decoherence-free target state without coupling to environment.

关键词： Decoherence-free state Decoherence-free subspace State transfer lyapunov-based control

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lyapunov based control for One Qubit Quantum Gates in Coherence Vector Formulation

Lyapunov Based Control for One Qubit Quantum Gates in Cohere...

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第37届中国控制会议

作者： Bilal Riaz Shuang Cong Shahid Qamar Department of Automation University of science and Technology of China

The design of one qubit quantum gates with lyapunov-based method is studied in this paper. Firstly, one qubit quantum control system is described in the coherence vector formation, then two types of lyapunov functions are selected to implement NOT gate. The performances of control laws derived from both lyapunov functions are compared and analyzed by means of the simulations for the NOT gate implementation.

关键词： Qubit Quantum Gates lyapunov-based control coherence vector

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Sensor-based Planning and control Algorithms for a Mobile Robot over a Given Global Planning

Sensor-Based Planning and Control Algorithms for a Mobile Ro...

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第三十届中国控制会议

作者： Anugrah k.PAMOSOAJI Augie WIDYOTRIATMO Keum-Shik HONG School of Mechanical Engineering Pusan National UniversityKorea Department of Cogno-Mechatronics Engineering and School of Mechanical Engineering Pusan National University

＜正＞A sensor-based planning algorithm for mobile robots in complex workspaces given a global plan is *** issue of workspace recognition effort is tackled by the proposed *** integrated planning and control scheme is proposed as *** local planning algorithm uses information of via-points from a global planning algorithm to generate the local ***,the local planning algorithm will generate a sub-via-point once an obstacle detected in the sensing area.A lyapunov-based control law for tracking the current sub-via-point or the current via-point is introduced.A simulation which shows path,linear velocity,and angular velocity generated by the control design to drive the robot to the current via-point or sub-via-point is presented.

关键词： Global And Local Planning Integration Sensor-based Planning lyapunov-based control

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ACLFs-based MPC for Nonlinear Systems with Uncertainty

ACLFs-based MPC for Nonlinear Systems with Uncertainty

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第32届中国过程控制会议(CPCC2021)

作者： Yanye Wang Shaoyuan Li Yi Zheng Qiangyu Li Shanghai Jiao Tong University Key Laboratory of System Control and Information ProcessingMinistry of Education of China

In this paper,we propose the framework to design a stabilized adaptive MPC for nonlinear systems with unknown *** problem is how to design the stability *** firstly design a piece-wise continuous control law and a parameter update law based on the Adaptive control lyapunov Functions(ACLFs),which can stabilize the closed-loop system and is used to limit the MPC control *** this ACLFs-based constraint,the stability of the closed-loop system can be *** the application,this constraint can update according to new arrival data at each sampling *** prior information of the actual parameters and the rigorous model parameters mismatch are not ***,to improve the performance related with the control processes and requirements,we can use any methods,*** learning method,to get an accurate prediction model employed to calculate the cost *** updating of the prediction model will not affect the feasibility and the stability of the closed-loop *** proposed MPC scheme simplifies the control design for systems with difficulty in estimation of the unknown parameters since only one additional constraint is *** results show the effectiveness of the proposed scheme.

关键词： Model Predictive control Adaptive control lyapunov-based control

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