To make robots walk smoothly and stably,it is necessary to solve ground impacts during dynamic *** motion control can help to reduce the impacts and improve the robot's adaptability to complex *** control is a use...
详细信息
ISBN:
(纸本)9781509046584
To make robots walk smoothly and stably,it is necessary to solve ground impacts during dynamic *** motion control can help to reduce the impacts and improve the robot's adaptability to complex *** control is a useful framework to provide robot's leg *** conventional impedance control employs second-order mass-damping-spring system as a force disturbance *** this paper,position-based impedance control is applied to legged locomotion of the wheel-legged robot and a novel impedance controller with fractional order form is put forward to increase the system degrees of freedom for *** simulation tests of electric cylinder actuator and leg systems are carried out to demonstrate the effectiveness of the proposed algorithm.
There are usually large uncertainties in the aerodynamic parameters of Mars entry vehicles,which inevitably degrades the performance of entry guidance *** paper presents a backstepping sliding mode controller for drag...
详细信息
ISBN:
(纸本)9781538629185
There are usually large uncertainties in the aerodynamic parameters of Mars entry vehicles,which inevitably degrades the performance of entry guidance *** paper presents a backstepping sliding mode controller for drag tracking in Mars entry guidance,which can guarantee the tracking error with finite-time ***,the drag can track the reference trajectory under the virtual control law by introducing a sliding manifold,and the extended state observer(ESO) is used to estimate and counteract the ***,the finite-time convergence of drag tracking error can be achieved under the proposed backstepping sliding mode guidance *** addition,the rigorous proof of tracking error convergence is ***,numerical simulation results are presented to demonstrate the effectiveness of the proposed guidance law.
Wireless networked controlsystems have gained significant popularity due to commissioning and maintenance *** 802.15.4 standard is one of wireless communication protocol for low delay deterministic *** automation,not...
详细信息
ISBN:
(纸本)9781538629185
Wireless networked controlsystems have gained significant popularity due to commissioning and maintenance *** 802.15.4 standard is one of wireless communication protocol for low delay deterministic *** automation,not only needs low delay but also requires the network that should has the capacity of various delay *** this paper,we propose a scheme,satisfying the muli-delay network in the networked control *** are using TI SmartRF04 EB evaluation boards with CC2530 SoC and TIMAC software stack CC2530 boards,as well as dc servo motors for a speed tracking control problem.
For the control method based on SLIP model and the trisection method of quadruped robot can not be applied in the parallel quadruped wheel-foot robot,a new walking control method which can control body posture accordi...
详细信息
ISBN:
(纸本)9781538629185
For the control method based on SLIP model and the trisection method of quadruped robot can not be applied in the parallel quadruped wheel-foot robot,a new walking control method which can control body posture according to ZMP theory is put *** problem that robot can easily tip during trotting is solved by selecting landing *** structure of the parallel quadruped wheel-foot robot is *** planning algorithm is shown in *** prototyping based on Matlab and Adams integrated simulation platform is *** simulation results show the effectiveness of the new control algorithm.
This paper presents nonlinear robust trajectory tracking strategies for the hypersonic vehicle whose ailerons are stuck at an unknown angular position. Firstly, a time-varying sliding mode control strategy for general...
详细信息
ISBN:
(纸本)9781538629185
This paper presents nonlinear robust trajectory tracking strategies for the hypersonic vehicle whose ailerons are stuck at an unknown angular position. Firstly, a time-varying sliding mode control strategy for general second-order systems is introduced, and the chattering of sliding mode controller is alleviated. Secondly, the dynamics of hypersonic vehicle are transformed into two second-order systems. Then, the corresponding guidance law and attitude controller are designed using time-varying sliding mode controller. By the proposed strategies, the hypersonic vehicle can fly along the reference ***, the proposed strategies are applied to a hypersonic platform to verify its validity.
This paper investigates the stabilization problem of a class of fractional order chaotic systems with unknown modeling uncertainties and external perturbations. A fractional nonlinear sliding surface is proposed, and ...
详细信息
This paper investigates the stabilization problem of a class of fractional order chaotic systems with unknown modeling uncertainties and external perturbations. A fractional nonlinear sliding surface is proposed, and a reaching control law is obtained to guarantee the stability of the fractional chaotic system in finite time with just a single control input. And the simulation results are given to demonstrate the efficacy of the proposed nonlinear sliding mode control method.
The problem of flocking of second-order multiagent systems with connectivity preservation is investigated in this paper. First, for estimating the algebraic connectivity as well as the corresponding eigenvector, a new...
详细信息
Regression, as a particular task of machine learning, performs a vital part in data-driven modeling, by finding the connections between the system state variables without any explicit knowledge about the system, using...
详细信息
ISBN:
(纸本)9781538626191
Regression, as a particular task of machine learning, performs a vital part in data-driven modeling, by finding the connections between the system state variables without any explicit knowledge about the system, using a collection of input-output data. To enhance the prediction performance and maximize the training speed, we propose a fully learnable ensemble of Extreme Learning Machines (ELMs) for regression. The developed approach learns the combination of different individual models, using the ELM algorithm, which is applied to minimize both the prediction error and the norm of the network parameters, which leads to higher generalization performance under Bartlett's theory. Moreover, the average based ELM ensemble may be viewed as a particular case of our model. Extensive experiments on many standard regression benchmark datasets have been carried out, and comparison with different models has been performed. The experimental findings confirm that the proposed ensemble can reach competitive results in term of the generalization performance, and the training speed. Furthermore, the influence of different hyper parameters on the performance, in term of the prediction error and the training speed, of the developed model has been investigated to provide a meaningful guideline to practical applications.
The agent routing problem in multi-point dynamic task(ARP-MPDT) is a multi-task routing problem of a mobile agent. In this problem, there are multiple tasks to be carried out in different locations. As time goes on,...
详细信息
The agent routing problem in multi-point dynamic task(ARP-MPDT) is a multi-task routing problem of a mobile agent. In this problem, there are multiple tasks to be carried out in different locations. As time goes on, the state of each task will change nonlinearly. The agent must go to the task points in turn to perform the tasks, and the execution time of each task is related to the state of the task point when the agent arrives at the point. ARP-MPDT is a typical NP-hard optimization problem. In this paper, we establish the nonlinear ARP-MPDT model. A multi-model estimation of distribution algorithm(EDA) employing node histogram models(NHM) and edge histogram models(EHM) in probability modeling is used to solve the ARP-MPDT. The selection ratio of NHM and EHM probability models is adjusted adaptively. Finally, performance of the algorithm for solving the ARP-MPDT problem is verified by the computational experiments.
Interactive multi-objective optimization algorithms have developed rapidly in recent years. In this paper, we propose a new classification-based interactive multi-objective optimization algorithm named ICB-MOEA/D to s...
详细信息
Interactive multi-objective optimization algorithms have developed rapidly in recent years. In this paper, we propose a new classification-based interactive multi-objective optimization algorithm named ICB-MOEA/D to solve the formulated multiobjective optimization problem. ICB-MOEA/D provides several solutions for the decision maker to choose. The decision maker chooses his/her most preferred solution from these solutions and the historical solutions which have been chosen as the current most preferred solution. ICB-MOEA/D records this solution and classifies the objectives according to the updated preference information into four categories: 1) objectives which are expected to be improved;2) objectives which can be sacrificed;3) objectives which are expected to remain basically unchanged;4) objectives which do not matter currently. Accoding to the number of the objectives in the first category, a new single-objective opitimization model or multi-objective optimization model will be built. The single-objective optimization model will be optimized by a classic variant of differential evolution DE/rand/1/bin, and the multi-objective optimization model will be optimized by a popular docomposition-based multi-objective optimizer MOEA/*** the classifications are done automatically by the algorithm, reducing the burden of the decision maker. ICB-MOEA/D was tested on the two-objective instance ZDT1, and the experiment results show the effectiveness of ICB-MOEA/D.
暂无评论