In this paper, iterative learning control (ILC) design is studied for an iteration-varying tracking problem in which reference trajectories are generated by high-order internal models (HOLM). An HOlM formulated as...
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In this paper, iterative learning control (ILC) design is studied for an iteration-varying tracking problem in which reference trajectories are generated by high-order internal models (HOLM). An HOlM formulated as a polynomial operator between consecutive iterations describes the changes of desired trajectories in the iteration domain and makes the iterative learning problem become iteration varying. The classical ILC for tracking iteration-invariant reference trajectories, on the other hand, is a special case of HOlM where the polynomial renders to a unity coefficient or a special first-order internal model. By inserting the HOlM into P-type ILC, the tracking performance along the iteration axis is investigated for a class of continuous-time nonlinear systems. Time-weighted norm method is utilized to guarantee validity of proposed algorithm in a sense of data-driven control.
Multi-objective dimensional optimization of parallel kinematic manipulators(PKMs) remains a challenging and worthwhile research endeavor. This paper presents a straightforward and systematic methodology for implementi...
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Multi-objective dimensional optimization of parallel kinematic manipulators(PKMs) remains a challenging and worthwhile research endeavor. This paper presents a straightforward and systematic methodology for implementing the structure optimization analysis of a 3-prismatic-universal-universal(PUU) PKM when simultaneously considering motion transmission, velocity transmission and acceleration transmission. Firstly, inspired by a planar four-bar linkage mechanism, the motion transmission index of the spatial parallel manipulator is based on transmission angle which is defined as the pressure angle amongst limbs. Then, the velocity transmission index and acceleration transmission index are derived through the corresponding kinematics model. The multi-objective dimensional optimization under specific constraints is carried out by the improved non-dominated sorting genetic algorithm(NSGA Ⅱ), resulting in a set of Pareto optimal solutions. The final chosen solution shows that the manipulator with the optimized structure parameters can provide excellent motion, velocity and acceleration transmission properties.
Feature extraction for mental fatigue and relaxation states is helpful to understand the mechanisms of mental fatigue and search effective relaxation technique in sustained work environments. Experiment data of human ...
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Ultrasonic guided waves, because of their long range inspection ability, are now being used more and more as a very efficient and economical nondestructive evaluation method for large area inspection. In this study, t...
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ISBN:
(纸本)9781627481519
Ultrasonic guided waves, because of their long range inspection ability, are now being used more and more as a very efficient and economical nondestructive evaluation method for large area inspection. In this study, the eigenvalue imaging method is proposed which has an ability to classify the Lamb wave fronts scattered by sub-surface defects. The eigenvalues are defined by the covariance matrix defined over the 4-dimensional vector space which is spanned by following components:(l)a vertical (z-directional) displacement, (2)its vertical particle velocity, (3)x-directional (4)y-directional out-of-plane strains. In this study, the computational process in the Lamb wave field near the defects is discussed and their physical meanings of the third eigenvalue are investigated through several acoustic experiments.
Presently, breakthrough industrial technology and scientific technology produce various instruments of downscale and weight saving. But the metal parts are widely used for magnetic motors. It is difficult to lighten t...
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Dear editor,As a significant topic in control and signal processing communities, the filtering problem has been attracting persistent research attention in the past few decades [1]. In practical engineering, the param...
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Dear editor,As a significant topic in control and signal processing communities, the filtering problem has been attracting persistent research attention in the past few decades [1]. In practical engineering, the parameter perturbations are unavoidable due mainly to exogenous disturbances, environmental changes and some other phenomena.
Many persons suffer from severe disabilities such as amyotrophic lateral sclerosis (ALS) caused by neurological disorders. Such kinds of disabilities bring various restrictions to communication and circumstance in the...
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A new method for global path planning of mobile robots is presented using an Evolutionary Strategy (ES). A two-dimensional autonomous path planning problem of a point mobile robot among polygonal obstacles is formulat...
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The emerging development of connected and automated vehicles imposes a significant challenge on current vehicle control and transportation systems. This paper proposes a novel unified approach, Parallel Driving, a clo...
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The emerging development of connected and automated vehicles imposes a significant challenge on current vehicle control and transportation systems. This paper proposes a novel unified approach, Parallel Driving, a cloud-based cyberphysical-social systems(CPSS) framework aiming at synergizing connected automated driving. This study first introduces the CPSS and ACP-based intelligent machine systems. Then the parallel driving is proposed in the cyber-physical-social space,considering interactions among vehicles, human drivers, and information. Within the framework, parallel testing, parallel learning and parallel reinforcement learning are developed and concisely reviewed. Development on intelligent horizon(iHorizon)and its applications are also presented towards parallel *** proposed parallel driving offers an ample solution for achieving a smooth, safe and efficient cooperation among connected automated vehicles with different levels of automation in future road transportation systems.
Tasks important for a mobile robot are the environmental recognition and the obstacle avoidance in the real world. The legged robot can be adapted for rough terrains. It is because the legged robot has a high degree o...
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