The main objective of this article is to present the fixed-point theorem techniques for neutral equation. We consider an unconstrained controllability problem for semi linear stationary dynamical system. In the paper ...
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The main objective of this article is to present the fixed-point theorem techniques for neutral equation. We consider an unconstrained controllability problem for semi linear stationary dynamical system. In the paper the appropriate hypotheses are presented. In the proof of the main results we use Nussbaum fixed-point theorem and solution of semi linear neutral equation. The main goal of the paper are the sufficient conditions for the relative controllability on the given time interval for studied dynamical system.
This paper contains presentation of the flexible control system for an autonomous UAV (unmanned air vehicle). The complete description of hardware and software solutions used to realize autonomous flight are presented...
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This paper contains presentation of the flexible control system for an autonomous UAV (unmanned air vehicle). The complete description of hardware and software solutions used to realize autonomous flight are presented in this work. Main objective of the research was to develop software which provides ease of adjustment and extendibility to drone system with different equipment. Presented system is utilizable on various hardware platforms and is capable of realizing different missions with minimal adjustments. Described concept significantly simplifies designing complex system by introducing modular architecture. Presented method of dividing software components into modules with single functionality minimizes amount of work necessary to adjust system in case of changes in hardware. Presented general concept of system architecture is backed up with real life working model designed for tracking and landing on moving target. This paper contains detailed description of algorithms used in the project. Landing area detection is accomplished with vision system. Canny's edge detection algorithm with contour shape analysis algorithm is used for marker detection. Lucas-Kanade optical flow algorithm is applied for tracking detected pattern. Mission planning is realized as dedicated state machine developed for this particular task. System design is built with use of ROS (Robot Operating System) and is utilizing its subscriber-publisher method of data exchange between separated software units. Especially designed frame is used as hardware platform. Exemplary system is realized with Raspberry Pi 3 as onboard computer and Pixhawk flight controller. This concept and the exemplary system is a result of preparation for Mohamed Bin Zayed International Robotic Challenge 2017 in Abu Dhabi. Results from experiments performed as trials for the competition and future prospects are presented in this paper.
In this paper, the cascade control of the supply system for the heat exchanger is presented. The aim of the work is the construction of cascade control system, when the output for the inner loop is not measurable. Thi...
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In this paper, the cascade control of the supply system for the heat exchanger is presented. The aim of the work is the construction of cascade control system, when the output for the inner loop is not measurable. This signal is reconstructed by using the state observer derived from the distributed parameter model of the heat transportation and its implementation is based on the orthogonal collocation method. The idea is verified by simulation and the results are compared with single loop control system with PI controller.
The two-dimensional linear discriminant analysis (2DLDA) is one of the most successful face recognition methods. However, it cannot be directly applied to the face recognition where only one sample image per person is...
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The two-dimensional linear discriminant analysis (2DLDA) is one of the most successful face recognition methods. However, it cannot be directly applied to the face recognition where only one sample image per person is available for training. In this paper, we present a new method based on 2DLDA to deal with the single training sample problem. The method derive a set of sub-images from a single face image by sampling, therefore obtaining multiple training samples for each class, and then apply 2DLDA to the set of newly produced samples. The proposed algorithms are compared with both the E(PC) 2 A algorithm and the SVD perturbation algorithm which is proposed for addressing the single training sample problem. Experimental results on the ORL face database show that the proposed approach is feasible and has higher recognition performance than E(PC) 2 A and SVD perturbation algorithms
The combination of increasing demand for air transportation, high fuel prices and the growing environmental awareness motivates the need for fuel efficiency improvements and emissions reductions of the aviation sector...
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This paper analyses the structural stability of stabilizability and pole assignability of linear time-invariant interconnected systems. The concepts of structurally stable margin of the stabilizability and pole assign...
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This paper analyses the structural stability of stabilizability and pole assignability of linear time-invariant interconnected systems. The concepts of structurally stable margin of the stabilizability and pole assignability of the interconnected systems are given. Two estimate formulas of lower bounds for above margins are obtained by the method of perturbation analysis for matrices. The estimate formula of the perturbation of the eigenvalues applied in this paper (Lemma 1), in general, is better than that (Ostrowski Theorem) used in the papers (Davison and Copeland, 1985; Yan Wei-yong, 1985).
To address the reentry guidance problem of a lifting reentry vehicle that simultaneously satisfies typical path constraints, terminal conditions and no-fly zone constraints, a trajectory planning and guidance method b...
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ISBN:
(纸本)9781665426480
To address the reentry guidance problem of a lifting reentry vehicle that simultaneously satisfies typical path constraints, terminal conditions and no-fly zone constraints, a trajectory planning and guidance method based on artificial potential field and drag acceleration profile is proposed. In the longitudinal profile, a drag acceleration profile tracking guidance is used to calculate the bank angle magnitude that satisfies the flight range. In the lateral profile, an improved artificial potential field method is used to obtain the heading angle corridor, which can determine the sign of bank angle and guide the lifting reentry vehicle to avoid the no-fly zone and sudden threats. The results show that the proposed algorithm is effective to address the reentry guidance problem with no-fly zone constraints.
The problem of adaptive prediction and direct adaptive control for systems described by delay-differential systems is considered. A model reference approach to direct adaptive control is shown to be feasible for a cla...
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The problem of adaptive prediction and direct adaptive control for systems described by delay-differential systems is considered. A model reference approach to direct adaptive control is shown to be feasible for a class of 2-D systems. A reparametrization of the 2-D system description is given and the identification problem is converted into a linear estimation problem. Some necessary conditions for existence of solutions to the adaptive prediction and direct adaptive control problem are also given
Local Discriminant Basis selection for generalized orthonormal rational bases is suggested. This can be viewed as best basis selection with respect to a weighted cost function taking into account the distribution of t...
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Local Discriminant Basis selection for generalized orthonormal rational bases is suggested. This can be viewed as best basis selection with respect to a weighted cost function taking into account the distribution of the expansion coefficients of a disturbance. Different cost functions are considered and the methods are demonstrated with an example showing a significant improvement in the coefficient signal to noise ratio over the unweighted case.
This paper presents a method of identification of nonlinear system with unknown time varying parameters "based on an idea of orthogonal approximation of function. Here, block pulse functions are chosen as the ort...
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This paper presents a method of identification of nonlinear system with unknown time varying parameters "based on an idea of orthogonal approximation of function. Here, block pulse functions are chosen as the orthogonal set. The systems discussed are bilinear system, polynomial system and the two above mentioned systems with time-delay. The method gives recursive algorithms of identification of time varying parameters, and is not only computationally much simpler f but also allows higher numerical accuracy. Computational examples are presented to illustrate the utility of this method
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