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- AI Decision Making (1)
- AI testing (1)
- AUTONOMOUS CARS AND DRIVERLESS LETHAL AUTONOMY (1)
- Adapt ive PID therma l control (1)
- Artificial Intelligence & Robotic Control (1)
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- Artificial Intelligence and Cognitive Theory (1)
- Artificial intelligence (1)
- Automobile (1)
- Autonomous car (1)
- Autonomous system verification (1)
- Back-stepping (1)
- Hypersonic flight control (1)
- RBF neural netw orks (1)
- Recursive (1)
- Sate llite clock (1)
- Self-driving car (1)
- Testing and validation (1)
- Testing aritificial intelligence (1)
- Using Artificial Intelligence for Testing Artificial Intelligence (1)
- 鲁棒投影; 逼近精度; 过渡性能; 空间载人机动装置 (1)
Articles 1 - 12 of 12
Full-Text Articles in Robotics
Autonomous Cars And Driverless Lethal Autonomy, Nyagudi Musandu Nyagudi
Autonomous Cars And Driverless Lethal Autonomy, Nyagudi Musandu Nyagudi
Nyagudi M Nyagudi
“The small picture” - make an advanced autonomous /driverless car. Lots of algorithms, sensors, computers and other gizmos. Now get it to take you to work, park itself and seamlessly run your family errands around the city. Taking grandma to the doctor for the medical check-up, getting the children from school, etc. With Radar, Lidar and other sensors, the car steering with ease through the traffic, no driver to pay, that is another plus, fuel/energy efficiency, yet another plus. It is a bold new world and the sky is the limit. Without the resolution of “small picture” issues there is …
A Human Proximity Operations System Test Case Validation Approach, Justin Huber, Jeremy Straub
A Human Proximity Operations System Test Case Validation Approach, Justin Huber, Jeremy Straub
Jeremy Straub
A Human Proximity Operations System (HPOS) poses numerous risks in a real world environment. These risks range from mundane tasks such as avoiding walls and fixed obstacles to the critical need to keep people and processes safe in the context of the HPOS’s situation-specific decision making. Validating the performance of an HPOS, which must operate in a real-world environment, is an ill posed problem due to the complexity that is introduced by erratic (non-computer) actors. In order to prove the HPOS’s usefulness, test cases must be generated to simulate possible actions of these actors, so the HPOS can be shown …
Adaptive Kriging Controller Design For Hypersonic Flight Vehicle Via Back-Stepping, Bin Xu
Adaptive Kriging Controller Design For Hypersonic Flight Vehicle Via Back-Stepping, Bin Xu
Bin Xu
No abstract provided.
Direct Neural Discrete Control Of Hypersonic Flight Vehicle, Bin Xu
Direct Neural Discrete Control Of Hypersonic Flight Vehicle, Bin Xu
Bin Xu
No abstract provided.
Adaptive Discrete-Time Controller Design With Neural Network For Hypersonic Flight Vehicle Via Back-Stepping, Bin Xu
Bin Xu
In this article, the adaptive neural controller in discrete time is investigated for the longitudinal dynamics of a generic hypersonic flight vehicle. The dynamics are decomposed into the altitude subsystem and the velocity subsystem. The altitude subsystem is transformed into the strict-feedback form from which the discrete-time model is derived by the first-order Taylor expansion. The virtual control is designed with nominal feedback and neural network (NN) approximation via back-stepping. Meanwhile, one adaptive NN controller is designed for the velocity subsystem. To avoid the circular construction problem in the practical control, the design of coefficients adopts the upper bound instead …
Adaptive Neural Control Based On Hgo For Hypersonic Flight Vehicles, Bin Xu
Adaptive Neural Control Based On Hgo For Hypersonic Flight Vehicles, Bin Xu
Bin Xu
This paper describes the design of adaptive neural controller for the longitudinal dynamics of a generic hypersonic flight vehicle (HFV) which are decomposed into two functional systems, namely the altitude subsystem and the velocity subsystem. For each subsystem, one adaptive neural controller is investigated based on the normal output-feedback formulation. For the altitude subsystem, the high gain observer (HGO) is taken to estimate the unknown newly defined states. Only one neural network (NN) is employed to approximate the lumped uncertain system nonlinearity during the controller design which is considerably simpler than the ones based on back-stepping scheme with the strict-feedback …
Task Allocation For Multi-Spacecraft Cooperation Based On Estimation Of Distribution Algorithm, Bin Xu
Task Allocation For Multi-Spacecraft Cooperation Based On Estimation Of Distribution Algorithm, Bin Xu
Bin Xu
One two-stage task allocation strategy is proposed for multi-spacecraft cooperation during the long-range orbit transfer with two impulses. This paper focuses on the task value maximum and cost minimum optimization by assigning spacecraft to different task. At the first stage time and energy cost are considered based on the spacecraft dynamics. The optimization result is together with the target value as the factor for the task allocation model at the second stage. The optimization is processed separately in continuous and discrete time domain with estimation of distribution algorithm (EDA). Different task allocation mode is formulated and the strategy is verified …
Composite Control Based On Optimal Torque Control And Adaptive Kriging Control For The Crab Rover, Bin Xu
Composite Control Based On Optimal Torque Control And Adaptive Kriging Control For The Crab Rover, Bin Xu
Bin Xu
Terrainability is mostly dependant on the suspension mechanism and the control of a space rover. For the six wheeled CRAB rover, this paper presents the composite control design with torque control and adaptive Kriging control to improve the terrainability, somewhat related to minimizing heel slip. As CRAB is moving slowly, the torque control is processed by minimizing the variance of the required friction coefficient based on the static model. Adaptive Kriging control is used to track the commanded velocity. The system uncertainty is compensated by Kriging estimation based on the velocity dynamics. Experiment results with two different tires show the …
Adaptive Hypersonic Flight Control Via Back-Stepping And Kriging Estimation, Bin Xu
Adaptive Hypersonic Flight Control Via Back-Stepping And Kriging Estimation, Bin Xu
Bin Xu
This paper investigates the adaptive Kriging controller for the longitudinal dynamics of a generic hypersonic flight vehicle (HFV). For the altitude subsystem, the dynamics are transformed into the strict-feedback form where the backstepping scheme is employed. Considering the nonlinearity of the dynamics, the nominal feedback is included in the controller while Kriging system is designed to estimate the uncertainty. With the proposed controller, the almost surely bounded stability is guaranteed. The simulation study is presented to show the effectiveness of the proposed control approach.
Adaptive Pid Control Based On Rbf Network Approximating The Satellite Clock Thermal Model, Bin Xu
Adaptive Pid Control Based On Rbf Network Approximating The Satellite Clock Thermal Model, Bin Xu
Bin Xu
The accuracy o f t ime information prov ided by sate llite clock g reat ly depends on its frequency stab ili ty, w hich is up to the stability o f the co re tempera ture. Th is paper introduces an adaptive PID control for the sate llite c lock system whose mode l is approx imated based on RBF neural netw orks. Simu lation resu lts demonstrate the va lid ity o f the proposed contro.l
An Improved Robust Projection Identification Algorithm To Manned Maneuvering Units, Bin Xu
An Improved Robust Projection Identification Algorithm To Manned Maneuvering Units, Bin Xu
Bin Xu
空间载人机动装置(MMU )在进行救援过程中, 其动力学参数存在很大的不确定性。为解决这一辨识问题, 本文首先推导系统关于各动力学参数的线性化模型, 然后结合该线性模型的特点, 提出了一种用于估计动力学参数的改进鲁棒投影算法, 并在理论上分析了该算法的收敛性质, 数字仿真验证了方法的有效性。
Book Review: Reasoning Agents In A Dynamic World: The Frame Problem. Kenneth M. Ford And Patrick J. Hayes, Eds.,, Jozsef A. Toth
Book Review: Reasoning Agents In A Dynamic World: The Frame Problem. Kenneth M. Ford And Patrick J. Hayes, Eds.,, Jozsef A. Toth
Jozsef A Toth Ph.D.
No abstract provided.