作者:
Atinga, AwuduBito, Janos F.Tar, Jozsef K.Obuda Univ
Doctoral Sch Appl Informat & Appl Math Budapest Hungary Obuda Univ
John Von Neumann Fac Informat ABC iRob Budapest Hungary Obuda Univ
John Von Neumann Fac Informat ABC iRob Doctoral Sch Appl Informat & Appl Math Budapest Hungary
In model-based control of dynamical systems the order of the necessary controller is that of the time-derivative of the generalized coordinate of the system that immediately can be set by the controller. It is determi...
详细信息
ISBN:
(纸本)9798350398823
In model-based control of dynamical systems the order of the necessary controller is that of the time-derivative of the generalized coordinate of the system that immediately can be set by the controller. It is determined by the "physics" of the system to be controlled. In finite time-resolution approach the digital controllers model the derivatives by finite differences, and the simplest numerical integration via Euler's method also uses such differences. Whenever some fractional order derivative of the tracking error is fed back, this long memory term allows the realization of such control strategies for various integer order systems by appropriately "masking" and weighting certain elements of longer sequences. On this mathematical basis the idea of controlling a higher order system by the application of a lower order strategy can be formulated, too. The main benefit may be achieving monotonic decrease in the components of the tracking error. In this paper the first order control of a popular second order system often used for benchmark applications, the van der Pol oscillator is considered. The realization of a simple proportional feedback first order controller in two variants, and a PID-type Computed Torque control are considered in the fixed point iteration-based adaptive framework to tackle the problems caused by modeling imprecisions. The applicability and the limits of the investigated approaches are concluded.
This paper focuses on the mechanism design of a novel compact dexterous hand of 3 fingers, 9 joints and 7 DOF (degrees of freedom). The technology of single-motor actuation is used and a kind of compact bilateral clut...
详细信息
ISBN:
(纸本)0780372034
This paper focuses on the mechanism design of a novel compact dexterous hand of 3 fingers, 9 joints and 7 DOF (degrees of freedom). The technology of single-motor actuation is used and a kind of compact bilateral clutch is designed to reduce the size of actuation and control part of the hand. Different from most dexterous hand designs, no lengthy tendons are needed in this design since the actuation and control parts are all integrated closely to the fingers. Furthermore, passive joints are added to reduce the number of control DOF and make the hand behave like a human hand. The notion of perfect dexterous hands is discussed from the viewpoint of degrees of freedom. The hand's kinematics and its control architect-are in our experiment system of teleoperation are also briefly presented.
A novel approach toward the adaptive control of robots dynamically interacting,vith an unmodelled environment and having only approximately known dynamic parameters has recently been developed on the basis of the prin...
详细信息
ISBN:
(纸本)0818681381
A novel approach toward the adaptive control of robots dynamically interacting,vith an unmodelled environment and having only approximately known dynamic parameters has recently been developed on the basis of the principles of the Hamiltonian Mechanics. Like different means of modern Soft Computing technology as artificial neural networks (ANNs) or fuzzy controllers having a more or less uniform architecture independent of the particular details of the problems to be solved by them, the proposed method also has a uniform structure not strictly tailored to the peculiar properties of the mechanical system to be controlled. However, as special kinds of ANNs are fil to solve wide but typical classes of tasks the proposed method is invented for tackling problems related to the control of mechanical devices in which the dominating non-linear coupling originates from the laws of Classical Mechanics. As ANNs have a plenty of free parameters (connection weights and threshold values) the tuning of which means learning, this mechanical model also contains tunable parameters so offering the possibility for learning. In this paper the model's free parameters, possible constraints imposed on them as well as different tuning strategies are discussed partly on the basis of computer simulations.
A method of fuzzy multi-layer synthetic evaluation of economic benefit of enterprise is proposed, which applies artificial neural network to analyze the influence coefficients of evaluation indexes of economic benefit...
详细信息
ISBN:
(纸本)0780378660
A method of fuzzy multi-layer synthetic evaluation of economic benefit of enterprise is proposed, which applies artificial neural network to analyze the influence coefficients of evaluation indexes of economic benefit. In this way, many subjective factors involved can be avoided and so the economic benefit of enterprise can be analyzed and evaluated more objectively and justly. The presented method is very simple and easy to implement. A practical example is also given and the results verify the validity of the method.
The purpose of this paper is to design a neural network controller for a nonlinear system with uncertainties which are invariant or repetitive over repeatedly executed tasks such that the maximum tracking errors can b...
详细信息
ISBN:
(纸本)0780372034
The purpose of this paper is to design a neural network controller for a nonlinear system with uncertainties which are invariant or repetitive over repeatedly executed tasks such that the maximum tracking errors can be kept within a predefined region through an iterative learning or training process. The desired trajectory is segmented and for each segment a local neural network is constructed. The training of the local neural networks is done iteratively as the task repeats. Meanwhile, the training is segment-wise progressively from the starting segment to the ending one. The accurate tracking of the whole desired trajectory is thus accomplished in a step-by-step or segment-by-segment manner. As an application example, a robot visual servoing control problem is considered with ail unknown system structure and camera parameters.
PC-based immersion-type display integrated with a motion capture system as well as a 3D dynamic simulator has been successfully constructed in our laboratory, as a first universal development environment of human inte...
详细信息
ISBN:
(纸本)0780378660
PC-based immersion-type display integrated with a motion capture system as well as a 3D dynamic simulator has been successfully constructed in our laboratory, as a first universal development environment of human interactive robot within Japan. This system makes it possible for us to design and examine the next generation of human interactive robot easily and safely. Experiments of a virtual robot interacts with human and performs dynamic motion show the effectiveness of our system.
Reinforcement learning problems are often discretised, use linear function approximation, or perform batch updates. However, many applications that can benefit from reinforcement learning contain continuous variables ...
详细信息
ISBN:
(纸本)9781728125473
Reinforcement learning problems are often discretised, use linear function approximation, or perform batch updates. However, many applications that can benefit from reinforcement learning contain continuous variables and are inherently non-linear, for example, the control of aerospace or maritime robotic vehicles. Recent work has brought focus onto online temporal difference methods, specifically for using non-linear function approximation. In this paper, we evaluate the Forward Actor-Critic against the regular Actor-Critic, and Continuous Actor-Critic Learning automation. We also propose and evaluate a new algorithm called True Online Continuous Learning automation (TOCLA) which combines these two approaches. The chosen benchmark problem was the MountainCarContinuous-v0 environment from OpenAI Gym, which represents a further step in complexity over the benchmark used to test the Forward Actor Critic in previous works. Our results demonstrate the superiority of TOCLA in terms of its sensitivity to hyper-parameter selection compared with the Forward Actor Critic, Continuous Actor-Critic Learning automation, and Actor Critic algorithms.
In this paper, we develop a direct adaptive control framework for MIMO linear uncertain systems with exogenous bounded disturbances and l(2) Disturbances. The proposed adaptive controller addresses adaptive stabilizat...
详细信息
ISBN:
(纸本)0780378660
In this paper, we develop a direct adaptive control framework for MIMO linear uncertain systems with exogenous bounded disturbances and l(2) Disturbances. The proposed adaptive controller addresses adaptive stabilization and disturbance rejection. For bounded energy l(2) disturbances the proposed method guarantees a nonexpansivity constraint on the closed-loop input-to-states map. The framework is Lyapunov-based and the adaptive laws are characterized by Kronecker calculus. The only assumption is reachability of the pair (A, B). Finally, several numerical examples axe provided to demonstrate the efficacy of the proposed frameworks.
A robust control system is proposed to solve the local control for a multi-chain robotic system formed by tentacle manipulators grasping a common object with hard point contacts. The two-level hierarchical control is ...
详细信息
In this paper, a joystick teaching system using a fuzzy compliance control is presented for polishing robots. The joystick is regarded as a virtual spring-damper system, so that the joystick's compliance in operat...
详细信息
ISBN:
(纸本)0780372034
In this paper, a joystick teaching system using a fuzzy compliance control is presented for polishing robots. The joystick is regarded as a virtual spring-damper system, so that the joystick's compliance in operation can be easily adjusted according to the friction force acting between the polishing tool and the workpiece. In conventional compliance control, both the damping coefficient and the stiffness coefficient are generally selected to be suitable for each task by trial and error. Our proposed method described suitably generates the component of stiffness by a simple fuzzy reasoning method. The effectiveness of the proposed system has been examined by some teaching experiments using an industrial robot FS-20 with a PC based controller.
暂无评论