This paper is concerned with the problem of adaptive fuzzy tracking control for a class pure-feedback stochastic nonlinear systems input saturation. To overcome design difficulty from nondifferential saturation nonlinearity, smooth function signal first introduced to approximate function; then, an controller based on mean-value theorem constructed by using backstepping technique. The proposed guarantees that all signals in closed-loop system are bounded probability and output eventually...

In this paper, we consider the problem of observer-based adaptive neural output-feedback control for a class stochastic nonlinear systems with nonstrict-feedback structure. To overcome design difficulty from structure, variable separation approach is introduced by using monotonically increasing property system bounding functions. On basis state observer, and combining backstepping technique radial function networks' universal approximation capability, an output feedback algorithm presented....

This paper focuses on the problem of approximation-based adaptive fuzzy tracking control for a class stochastic nonlinear time-delay systems with nonstrict-feedback structure. A variable separation approach is introduced to overcome design difficulty from Mamdani-type logic are utilized model unknown functions in process controller design, and an systematically designed by using backstepping technique. It shown that proposed guarantees all signals closed-loop system fourth-moment...

In this paper, an adaptive neural decentralized control approach is proposed for a class of multiple input and output uncertain stochastic nonlinear strong interconnected systems. Radial basis function networks are used to approximate the packaged unknown nonlinearities, backstepping technique utilized construct controller. The scheme can guarantee that all signals resulting closed-loop system semiglobally uniformly ultimately bounded in sense fourth moment, tracking errors eventually...

This paper considers the problem of observer-based adaptive fuzzy control for a class nonlinear time-delay systems in nonstrict-feedback form, which includes strict-feedback as special case. An output feedback backstepping approach is first proposed form. Fuzzy logic are used to approximate unknown functions. Adaptive technique and utilized construct controller. The controller guarantees that all signals closed-loop system semi-globally uniformly ultimately bounded. Simulation results...

This paper focuses on the problem of fuzzy adaptive control for a class multiinput and multioutput (MIMO) nonlinear systems in nonstrict-feedback form, which contains strict-feedback form as special case. By condition variable partition, new backstepping is proposed such MIMO systems. The suggested controller guarantees that scheme can guarantee all signals closed-loop system are semi-globally uniformly ultimately bounded tracking errors eventually converge to small neighborhood around...

This paper focuses on the problem of adaptive control for a class nonlinear time-delay systems with unknown nonlinearities and strict-feedback structure. Based Lyapunov-Krasovskii functional approach, state-feedback controller is constructed by backstepping. The proposed guarantees that system output converges into small neighborhood reference signal, all signals closed-loop remain bounded. Compared results exist, main advantage method design independent choice fuzzy-membership functions;...

This paper focuses on the problem of adaptive fuzzy control for a class nonlinear systems without strict-feedback form. A new scheme is proposed delayed with unknown dead-zone nonlinearity. Control design achieved by introducing variable separation approach and employing unique structural property logic systems. The controller guarantees that all closed-loop signals are semiglobally uniformly ultimately bounded, tracking error converges to small neighborhood origin. Two simulation examples...

This paper focuses on approximation-based adaptive neural control of a class nonlinear non-strict-feedback systems. Based the structural characteristic and monotonously increasing property system bounding functions, variable separation method is first developed. By this method, an backstepping approach proposed for It shown that controller guarantees semi-global boundedness all signals in closed-loop Three examples are used to illustrate effectiveness approach.

A piezoelectric vibration energy harvester (PVEH) is capable of converting waste or undesirable ambient into useful electric energy. However, conventional PVEHs typically work in a narrow frequency range, leading to low efficiency practical application. This proposes PVEH based on the principle nonlinear sink (NES) achieve broadband harvesting. An alternating current circuit with resistive load first considered analysis dynamic properties and performance NES-based PEVH. Then, standard...

This article presents a novel piezoelectric energy-harvesting device. Different from the existing designs in literature, proposed device is based on principle of nonlinear energy sink order to achieve simultaneous broadband harvesting and vibration suppression for primary structure. First, concept design described. Subsequently, system modeling parameter identification are addressed. The performance apparatus under transient responses examined through both numerical simulation experimental...