本期精选2021年1-11期最新发表国家自然科学基金资助论文，点击文题畅读好文~

D. Zhang, G. Feng, Y. Shi, and D. Srinivasan, “Physical safety and cyber security analysis of multi-agent systems: A survey of recent advances,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp. 319–333, Feb. 2021.

doi: 10.1109/JAS.2021.1003820

L. Zou, Z. D. Wang, H. Geng, and X. H. Liu, “Set-membership filtering subject to impulsive measurement outliers: A recursive algorithm,”IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp. 377–388, Feb. 2021.

doi: 10.1109/JAS.2021.1003826

Y. Z. Liu, Z. Y. Meng, Y. Zou, and M. Cao, “Visual object tracking and servoing control of a nano-scale quadrotor: System, algorithms, and experiments,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp.344–360, Feb. 2021.

doi: 10.1109/JAS.2020.1003530

✎ Proposes a complete visual object tracking and servoing control system using a tailor-made 38 g nano-scale quadrotor platform

✎ Proposes a novel object tracking algorithm, i.e., RMCTer, where a two-stage short-term tracking module and an efficient long-term processing module are tightly integrated to collaboratively process the input frames.

✎ Proposes an adaptive PBVS control algorithm by leveraging the backstepping and adaption techniques.

Y. Hua, Q. Liu, K. Hao, and Y. Jin, “A survey of evolutionary algorithms for multi-objective optimization problems with irregular Pareto fronts,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp.303–318, Feb. 2021.

doi: 10.1109/JAS.2021.1003817

J. K. Ni, P. Shi, Y. Zhao, and Z. H. Wu, “Fixed-time output consensus tracking for high-order multi-agent systems with directed network topology and packet dropout,” IEEE/CAA J. Autom. Sinica, vol. 8,no. 4, pp. 817–836, Apr. 2021.

doi: 10.1109/JAS.2021.1003916

C. Chen, N. Y. Lu, B. Jiang, and C. S. Wang, “A risk-averse remaining useful life estimation for predictive maintenance,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp. 412–422, Feb. 2021.

doi: 10.1109/JAS.2021.1003835

W. He, X. X. Mu, L. Zhang, and Y. Zou, “Modeling and trajectory tracking control for flapping-wing micro aerial vehicles,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 148–156, Jan. 2021.

doi: 10.1109/JAS.2020.1003417

✎ Formulates the aerodynamic force and torque generated by the actual flapping frequency of flapping wings and tail wing inclination when constructing the system model of the FWMAV.

✎ Considers the unknown aerodynamic perturbation of flapping wings on the torque generated by the tail wing.

✎ Designs a bounded position controller with hyperbolic tangent functions to guarantee a bounded aerodynamic force. 

X. F. Li, L. Dong, and C. Y. Sun, “Data-based optimal tracking of autonomous nonlinear switching systems,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 227–238, Jan. 2021.

doi: 10.1109/JAS.2020.1003486

Z. Gao, J. H. Qin, S. Wang, and Y. N. Wang, “Boundary gap based reactive navigation in unknown environments,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp. 468–477, Feb. 2021.

doi: 10.1109/JAS.2021.1003841

✎ NGEA is proposed which extracts the narrowest gap to evaluate the accessibility reliably.

✎ Present the boundary gap which is a new concept for reactive navigation, and design a strategy of identifying the boundary gap that enables the robot to move along the obstacle boundary, which can lessen the possibility of ending in local minima.

✎ The navigation performance in terms of the trajectory smoothness is improved by applying a modified DWA into our framework.

W. Zhao, Y. J. Liu, and L. Liu, “Observer-based adaptive fuzzy tracking control using integral barrier Lyapunov functionals for anonlinear system with full state constraints,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 3, pp. 617–627, Mar. 2021.

doi: 10.1109/JAS.2021.1003877

Z. P. Chen, Z. H. Jiang, C. J. Yang, W. H. Gui, and Y. X. Sun, “Dust distribution study at the blast furnace top based on k–Sε–up model,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 121–135, Jan. 2021.

doi: 10.1109/JAS.2020.1003468

Y. Yang, Z. J. Liu, Q. Li, and D. C. Wunsch, “Output constrained adaptive controller design for nonlinear saturation systems,”IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp. 441–454, Feb. 2021.

doi: 10.1109/JAS.2020.1003524

✎ A barrier Lyapunov function with an asymmetric time-varying constraint is presented to ensure the prescribed transient performance on the output tracking error.

✎ To estimate the unmeasured states, the high-gain observer with adaptive feedback gain is designed with a relaxed continuity assumption.

✎ The input saturation is solved by introducing an additional auxiliary system, of which the stability analysis is based on the Nussbaum function-based method.

Z. F. Liu, R. Zheng, W. L. Lu, and S. H. Xu, “Using event-based method to estimate cyber security equilibrium,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp. 455–467, Feb. 2021.

doi: 10.1109/JAS.2020.1003527

✎ Presents an event-based method for estimating cybersecurity equilibrium in the preventive and reactive cyber defense dynamics, which has been proven globally convergent.

✎ Numerical examples show that the event-based method can reduce 98% of the observation cost incurred by the periodic method.

✎ This bridge may be of independent value because probability-state models have been widely used to approximate exponentially-many discrete state systems.

D. Y. Meng and J. Y. Zhang, “Robust optimization-based iterative learning control for nonlinear systems with nonrepetitive uncertainties,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp.1001–1014, May 2021.

doi: 10.1109/JAS.2021.1003973

✎ Address the robust ILC problem for nonlinear time-varying systems in the presence of nonrepetitive uncertainties.

✎ Introduce a new robust convergence analysis method for optimization-based adaptive ILC by implementing a double-dynamics analysis approach.

✎ Our design methods can effectively work, regardless of the presence of nonrepetitive uncertainties.

D. Wang, X. B. Zhu, W. Pedycz, Z. H. Yu, and, Z. W. Li, “Development of granular fuzzy relation equations based on a subset of data,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 8, pp. 1416–1427, Aug. 2021.

doi: 10.1109/JAS.2021.1004054

W.-T. Lin, Y.-W. Wang, C. J. Li, and X. H. Yu, “Distributed resource allocation via accelerated saddle point dynamics,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 9, pp. 1588–1599, Sept. 2021.

doi: 10.1109/JAS.2021.1004114

X. G. Guo, D. Y. Zhang, J. L. Wang, and C. K. Ahn, “Adaptive memory event-triggered observer-based control for nonlinear multi-agent systems under DoS attacks,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 10, pp. 1644–1656, Oct. 2021.

doi: 10.1109/JAS.2021.1004132

✎ Taking into account the effects of DoS attacks and external disturbance, a state observer is designed to remove the assumption that the states of the agent are measurable. 

✎ A distribute adaptive memory event-triggered mechanism is designed, which does not need global information when updating, thus reducing the communication burden. 

✎ This method can effectively reduce the difficulty caused by unmeasurable state and improve observer performance.

Z. X. Liu, Y. B. Li, F. Y. Wang, and Z. Q. Chen, “Reduced-order observer-based leader-following formation control for discrete-time linear multi-agent systems,” IEEE/CAA J. Autom. Sinica, vol. 8, no.10, pp. 1715–1723, Oct. 2021.

doi: 10.1109/JAS.2020.1003441

X. Zhao, S. L. Zou, and Z. J. Ma, “Decentralized resilient H∞ load frequency control forcyber-physical power systems under DoS attacks,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 11, pp. 1737–1751, Nov. 2021.