The proceedings contain 175 papers. The topics discussed include: hybrid guidance algorithm using flatness and dynamic inversion for RLV;geometrical guidance algorithm for soft landing on lunar surface;retro-PN based ...
ISBN:
(纸本)9783902823601
The proceedings contain 175 papers. The topics discussed include: hybrid guidance algorithm using flatness and dynamic inversion for RLV;geometrical guidance algorithm for soft landing on lunar surface;retro-PN based simultaneous salvo attack against higher speed non-maneuvering targets;computationally efficient suboptimal control design for impulsive systems based on model predictive static programming;development of frequency-dependent optimal control in independent modal space;comparison of two methods of incorporating an integral action in linear quadratic regulator;trajectory optimization and control of reentry vehicle;optimal control for a vibrating string with variable axial load and damping gain;towards optimal computation of energy optimal trajectory for mobile robots;Lyapunov function based steering law for generalized Voronoi diagram (GVD) construction by a mobile robot;and learning automata based set-point weighted parameter for unstable systems.
In the post-epidemic era, with the continuous increase of passenger flow in railway stations and people's increasing attention to public health, traditional service methods such as meal delivery and ticket checkin...
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In this work, a meta-heuristic approach integrated the genetic algorithm (GA) with ranking and selection (R&S) is proposed to solve for a good enough solution of the hard stochastic simulation optimization problem...
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ISBN:
(纸本)9781467325882;9781467325875
In this work, a meta-heuristic approach integrated the genetic algorithm (GA) with ranking and selection (R&S) is proposed to solve for a good enough solution of the hard stochastic simulation optimization problem (SSOP) with huge solution space. First, a rough model is used as a fitness evaluation in the GA to select N roughly good solutions from entire solution space. Then, we proceed with the R&S policy to search for a good enough solution from the N roughly good solutions. Finally, the meta-heuristic approach is applied to a booking limits problem at a hotel baby, which is formulated as a hard SSOP that consists of a huge solution space comprised by the vector of booking limits. The vector of good enough booking limits obtained by the proposed approach is promising in the aspects of solution quality and computational efficiency.
IoT will become an integral part of everyone's life in making the world more intelligent and smarter. In an IoT ecosystem, objects collect and share information in order to communicate with one another. The object...
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The proceedings contain 12 papers. The topics discussed include: a preliminary analysis of energy consumption in academic buildings;a fuel testing analysis of B20 biodiesel for gas turbines in Indonesia;technical, eco...
The proceedings contain 12 papers. The topics discussed include: a preliminary analysis of energy consumption in academic buildings;a fuel testing analysis of B20 biodiesel for gas turbines in Indonesia;technical, economic and environmental analysis of residential scale of the rooftop PV system in Surabaya, Indonesia;research on multi-scenario distributed wind and photovoltaic power accommodation capacity of distribution network based on time series production simulation;research of economic operation and control strategy for pv-storage-charging integrated power station;forecasting Indonesia's electricity generation: an application of long-range energy alternatives planning;connectivity matrix algorithm: a new optimal phasor measurement unit placement algorithm;and an intelligent power flow adjustment method based on reinforcement learning.
With the development of society and the continuous updating of economic models, the importance of marketing for business operations is becoming increasingly high. However, due to the traditional marketing model adopti...
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The evolution of intelligent tutoring systems (ITS) toward the use of multiple learning strategies calls on a multi-agent architecture. We designed an ITS where several agents assume different pedagogical roles;conseq...
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An approach of hysteresis modeling in piezoelectric actuators is presented based on the multi-input single-output (MISO) fuzzy system. The proposed model adopts first-order Takagi-Sugeno (T-S) fuzzy system and transfo...
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ISBN:
(纸本)9783642165832
An approach of hysteresis modeling in piezoelectric actuators is presented based on the multi-input single-output (MISO) fuzzy system. The proposed model adopts first-order Takagi-Sugeno (T-S) fuzzy system and transforms the multi-valued hysteresis into a one-to-one mapping with the extended input space vector. The generated fuzzy subspaces (multi-dimensional fuzzy sets) assign the maximum membership degree to the input data vectors. Fewer fuzzy subspaces are obtained by introducing the nearest neighbor and super radius concepts. The consequent parameter optimization is implemented after training the fuzzy system. Experimental results demonstrate that this methodology is algorithmically easy and can achieve high modeling accuracy.
With the rapid development of tourism, the application of deep learning technology in tourism destination management has gradually attracted widespread attention. The purpose of this study is to explore the potential ...
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This paper presents an adaptive flow control approach for controlling flow separation in a stator cascade within a low-speed axial-flow compressor using an air injection technique. Flow separation usually manifests it...
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ISBN:
(纸本)1563478137
This paper presents an adaptive flow control approach for controlling flow separation in a stator cascade within a low-speed axial-flow compressor using an air injection technique. Flow separation usually manifests itself as an increase in a total pressure loss across a blade row. A 1-D unsteady flow model based on the Euler equations incorporating a pressure loss parameter is used to design a feedback control of the total pressure at the outlet. The air injection control is formulated as a pointwise control in the interior region of the solution domain of the Euler equations. The feedback adaptive control strategy relies on a recursive least-square parameter estimation to estimate the effectiveness of air injection. A nonlinear trajectory optimization is developed in order to determine an optimal air injection gain schedule. A gradient-based computational procedure based on a wave-splitting finite-difference method is implemented for the optimization method. Disturbances due to variations in the inlet flow condition at the stator blade row are minimized by a quasi-steady state error-correction feedback optimal control in order to maintain a desired air injection value. The nonlinear optimization and quasi-steady state feedback optimal control are based on a recent adjoint method for the Euler equations. A numerical simulation demonstrates the effectiveness of the proposed flow control strategy.
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