The term Automated Contingency Management (ACM) has been used to describe intelligentsystems capable of mission re-planning and control reconfiguration based on information from health state diagnosis. While a diagno...
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While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with same covariance each class. Meanwhile, ...
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In this paper the Morphological Quotient Image (MQI) based on close and open operation are compared, and the more effective operation is chosen. Furthermore, the influence of template size to recognition rate is studi...
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Modern aircrafts and missiles with high manoeuvrability present an interesting challenge to autopilot design, which has activated new investigations in estimating the potential and applicability of recent theoretical ...
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Modern aircrafts and missiles with high manoeuvrability present an interesting challenge to autopilot design, which has activated new investigations in estimating the potential and applicability of recent theoretical control methods as well as how they can meet industrial demands. In this paper, a multi-objective approach for autopilot design is introduced. The design requirements are formulated using several integral criteria. A hybrid-genetic algorithm (GA) is employed to solve the nonlinear optimization problem. The obtained results are verified using nonlinear simulations in SIMULINK® which shows performance, stability and robustness of the designed flight controller.
A distributed-port-Hamiltonian system is a generalized model for passivity-based controls. The system representation has been extended to an infinite-dimensional conservative system derived from variational calculus, ...
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This paper presents a new feedback-feedforward configuration for the iterative learning control (ILC) design with feedback, which consists of a feedback and a feedforward component. The feedback integral controller st...
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This paper presents a new feedback-feedforward configuration for the iterative learning control (ILC) design with feedback, which consists of a feedback and a feedforward component. The feedback integral controller stabilizes the system, and takes the dominant role during the operation, and the feedforward ILC compensates for the repeatable nonlinear/unknown time-varying dynamics and disturbances, thereby enhancing the performance achieved by feedback control alone. As the most favorable point of this control strategy, the feedforward ILC and the feedback control can work either independently or jointly without making efforts to reconfigurate or retune the feedforward/feedback gains. With rigorous analysis, the proposed learning control scheme guarantees the asymptotic convergences along the iteration axis.
This paper presents a system of systems approach to threat detection through integration of heterogeneous independently operable systems. The approach is presented on a realistic situation where a human-controlled bas...
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This paper addresses the problem of clock offset in end-to-end network time synchronization. Firstly, an algorithm for measuring the end-to-end clock offset is proposed. Secondly, the traditional linear-compensation m...
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ISBN:
(纸本)7900719229
This paper addresses the problem of clock offset in end-to-end network time synchronization. Firstly, an algorithm for measuring the end-to-end clock offset is proposed. Secondly, the traditional linear-compensation method is analyzed and an algorithm to obtain the compensation line using least-squared algorithm is proposed. Finally, a new method of dynamic non-linear predicting compensation and its realization algorithm are proposed. Through experiments, it shows that the method of dynamic non-linear predicting compensation could compensate clock offset better than linear-compensation method. The superiority, validity and feasibility of the new method are proved.
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