作者:
Tangwen YinDepartment of Automation
Shanghai Jiao Tong UniversityKey Laboratory of System Control and Information ProcessingMinistry of Education
Exposition to risk for the benefit of automatic control creates *** and robustness are two options to reduce the inherent fragility risk of safety-critical ***,time and resource parameters that characterize the agile ...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
Exposition to risk for the benefit of automatic control creates *** and robustness are two options to reduce the inherent fragility risk of safety-critical ***,time and resource parameters that characterize the agile responsiveness and robust adaptivity are difficult to be optimized due to multilevel coupling structures with different time *** propose the quasi Markov simplex optimization(QMSO) of nonlinear functional parameters in multivariable collaborative cascade control(MCCC) to improve agility and robustness for systems with hierarchical multivariable coordination and multiple *** verify if the singularly perturbed feedback and control with quasi Markovian jumps through optimal nonlinear functional parameters can achieve the multivariable collaborative cascade control equivalent to that of singular perturbation modeling and design without decomposing slow and fast *** in aviation show that the nonlinear functional parameters in MCCC can be estimated through QMSO to improve agility and robustness for the consistence of flight *** find that the simplex optimization equivalently establishes the nonlinear singularly perturbed feedback and control with quasi Markovian jumps,without having to realize singular perturbation modeling and design,and there is no need to decompose slow and fast *** conclusion,the quasi Markov simplex estimation of nonlinear functional parameters optimizes the hierarchical multivariable coordination under multiple timescales,so that the synthesized collaborative cascade control is capable to improve agility and robustness.
Connected and Automated Vehicles (CAVs) have attracted increasing attention in intelligent transportation systems. An effective path planning enables the efficient operation of CAVs so that they can coordinate traffic...
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作者:
Han, MengqiYang, BoLiu, YuxiangLiu, SichengLiu, QiDepartment of Automation
Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China
With the rapid development of smart manufacturing, existing microservice deployment strategies based on the TCP protocol tend to encounter problems such as network latency, excessive header length, and port exhaustion...
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Silicon content control is critical to ensure the quality of molten iron and the stable operation of the blast furnace. The complex reactions and large uncertainty of the blast furnace make it hard to control. Several...
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Sintering proportion optimization plays a crucial role in determining the final product quality of sintered iron ore. However, the traditional approach of separating the optimization processes between the procurement ...
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The paper describes the approach to build a model predictive controlsystem for a mobile robot with redundant architecture. In the paper we present a structure of such controlsystem. This method is based on nonlinear...
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The article considers an approach to the construction of a fuzzy controller for a permanent magnets synchronous motor (PMSM). This controller must provide the specified type of transient response in the presence of a ...
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Visual localization is a crucial component in the application of mobile robot and autonomous *** retrieval is an efficient and effective technique in image-based localization *** to the drastic variability of environm...
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Visual localization is a crucial component in the application of mobile robot and autonomous *** retrieval is an efficient and effective technique in image-based localization *** to the drastic variability of environmental conditions,e.g.,illumination changes,retrievalbased visual localization is severely affected and becomes a challenging *** this work,a general architecture is first formulated probabilistically to extract domain-invariant features through multi-domain image ***,a novel gradientweighted similarity activation mapping loss(Grad-SAM)is incorporated for finer localization with high *** also propose a new adaptive triplet loss to boost the contrastive learning of the embedding in a self-supervised *** final coarse-to-fine image retrieval pipeline is implemented as the sequential combination of models with and without Grad-SAM *** experiments have been conducted to validate the effectiveness of the proposed approach on the CMU-Seasons *** strong generalization ability of our approach is verified with the RobotCar dataset using models pre-trained on urban parts of the CMU-Seasons *** performance is on par with or even outperforms the state-of-the-art image-based localization baselines in medium or high precision,especially under challenging environments with illumination variance,vegetation,and night-time ***,real-site experiments have been conducted to validate the efficiency and effectiveness of the coarse-to-fine strategy for localization.
The article presents a microcontroller system for synchronizing synchronous generators. The conditions of shockless synchronization of generators are considered and fulfilled. A system of active experiments has been d...
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Deep neural networks (DNNs) are acknowledged as vulnerable to adversarial attacks while the existing black-box attacks require extensive queries on the victim DNN to achieve high success rates. For query-efficiency, s...
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