The nussbaum-type function
WebMar 13, 2024 · Abstract: This paper solves the adaptive consensus problem for first-order linearly parameterized agents with completely nonidentical unknown high-frequency gain signs under directed graphs. A new class of Nussbaum-type function-based algorithms are proposed to handle the unknown high-frequency gain signs adaptively and cooperatively. WebApr 1, 2024 · The essential characteristic of a Nussbaum function (type B) is the geometrically increasing rate of its definite integral rather than arithmetically for a …
The nussbaum-type function
Did you know?
WebIn this paper, a novel synthesis of Nussbaum-type functions, and an adaptive radial-basis function neural network is proposed to design controllers for variable-speed, variable-pitch wind turbines. Dynamic equations of the wind turbine are highly nonlinear, uncertain, and affected by unknown disturbance sources. WebTo address this problem, a novel Nussbaum-type function is proposed and a key theorem is drawn which involves quantifying the interconnections of multiple Nussbaum-type functions of the subsystems with different control directions in a single inequality. Global stability of the closed-loop system and asymptotic stabilization of subsystems ...
WebThe Nussbaum family name was found in the USA, and the UK between 1840 and 1920. The most Nussbaum families were found in USA in 1920. In 1840 there was 1 Nussbaum … WebFeb 15, 2024 · A Nussbaum-type function based robust neural control algorithm is designed for the USV path-following task function in presence of cyber–physical attacks (see Fig. 1 ). For the unknown control gain of the actuator caused by the deception attack, only two Nussbaum parameters are derived to compensate the undesired perturbation.
WebMay 13, 2024 · A robust Nussbaum-type function has been developed in for a class of nonlinear systems with input nonlinearities, unknown control gain sign, and external …
WebIn this paper, a novel synthesis of Nussbaum-type functions, and an adaptive radial-basis function neural network is proposed to design controllers for variable-speed, variable …
WebFeb 17, 2024 · The unknown control coefficient and the remaining control rate of actuator fault can be solved by introducing a Nussbaum function. In order to avoid the repeated differentiations of the virtual controllers, first-order filters are added to the traditional backstepping control method. rando skoWebMay 1, 2024 · A Nussbaum-type function was utilized to solve the problem of unknown control directions, and the complexity of repetitive derivations in the backstepping procedure was reduced employing DSC. A new Declarations of interest none. References (45) K.P. Tee et al. Barrier Lyapunov functions for the control of output-constrained nonlinear systems … dr kumanovskiy simcoe ontarioWebMay 21, 2014 · Nussbaum-type function is utilized to deal with the unknown control direction [17, 24, 25]. A robust adaptive NNs controller is first proposed for a class of nonlinear time-delay systems with unknown dead-zone nonlinearity and … randosnetWeb(2) The Nussbaum-type function is incorporated into the control method so that the influence of unknown control directions is eliminated. (3) The singular problem in the PPC … dr kumaravel giWebFeb 15, 2024 · Nussbaum-type function based robust neural event-triggered control of unmanned surface vehicle subject to cyber and physical attacks 1. Introduction. With the … dr kumar nambucca headsWebWechat. Summary. This paper investigates the attitude stabilization problem of spacecraft subject to external disturbances and actuator saturation. A novel attitude control scheme … rando stavelotWebOct 9, 2024 · Add a comment. 2. normally this is done by creating your own type (class) ... then any other function can inherit from it and will be of the same "type". class my_functions: pass class func_as_param_class (my_functions): @staticmethod def __call__ (): print ("func_as_param called") func_as_param = func_as_param_class () # create the callable ... rand ou zar