Many networks must maintain synchrony despite the fact that they operate in noisy environments. Important examples are stochastic inertial oscillators, which are known to exhibit fluctuations with broad tails in many applications, including electric power networks with renewable energy sources. Such non-Gaussian fluctuations can result in rare network desynchronization. Here we build a general theory for inertial oscillator network desynchronization by non-Gaussian noise. We compute the rate of desynchronization and show that higher moments of noise enter at specific powers of coupling: either speeding up or slowing down the rate exponentially depending on how noise statistics match the statistics of a network's slowest mode. Finally, we use our theory to introduce a technique that drastically reduces the effective description of network desynchronization. Most interestingly, when instability is associated with a single edge, the reduction is to one stochastic oscillator.

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Network desynchronization by non-Gaussian fluctuations

We study non-Markovian stochastic differential equations with additive noise characterized by a Poisson point process with arbitrary pulse shapes and exponentially distributed intensities. Specifically, analytic results concerning transitions between different correlation regimes and the long-time asymptotic probability distribution functions are shown to be controlled by the shape of the pulses and dissipative parameter as time progresses. This program is motivated by the study of stochastic partial differential equations perturbed by space Poisson disorder and becomes the main focus of applications of the present exact functional approach.

Exact results on Poisson noise, Poisson flights, and Poisson fluctuations

In this manuscript, we have proposed the scheme of dual combination combination multiswitching synchronization for fractional order hyperchaotic nonlinear dynamical systems. The proposed scheme has been applied to fractional order hyperchaotic systems. To verify the results, numerical simulations are carried out using Matlab by taking the hyperchaotic Lu system, Lorenz system, Chen system and the Rossler system as examples.

Dual Combination Combination Multiswitching Synchronization of Eight Fractional Order Hyperchaotic Non Linear Dynamical Systems

The invention provides a tilting unmanned gyroplane control system, which comprises a remote command analysis component, a course/attitude/speed control channel, a power nacelle tilting control channel and a power output mode conversion system, wherein the remote command analysis component is used for converting and analyzing a ground remote command and sending out operation control and conversion commands; the course/attitude/speed control channel is used for carrying out course, attitude and speed control according to the operation command of the remote command analysis component; the power nacelle tilting control channel is used for generating a power nacelle tilting control law according to the control command of the remote command analysis component and driving a left nacelle and a right nacelle to synchronously tilt to a target mode; and the power output mode conversion system is used for generating an actual power mode conversion instruction according to the conversion command of the remote command analysis component and driving a left/right engine power output mode switching mechanism to act, thereby completing power output under the current mode. A multi-channel control mode is achieved, and various flight states of a tilting unmanned gyroplane can be measured in real time.

Tilting unmanned gyroplane control system

Dual Combination Combination Anti Synchronization of Eight Fractional Order Chaotic Systems.

The different Poisson noise-induced complete synchronization of the global coupled dynamical network is investigated. Based on the stability theory of stochastic differential equations driven by Poisson process, we can prove that Poisson noises can induce synchronization and sufficient conditions are established to achieve complete synchronization with probability 1. Furthermore, numerical examples are provided to show the agreement between theoretical and numerical analysis.

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Complete synchronization of the global coupled dynamical network induced by Poisson noises.

The invention discloses a tilt-rotor unmanned aerial vehicle. The tilt-rotor unmanned aerial vehicle comprises a wing, ailerons, an empennage, a fuselage, a power system, a control system and a ground-air data chain system; the power system comprises a power tilting mechanism, a motor and an airscrew; a pinch roller and a free-turning guide ring are arranged on the middle of the wing; the fuselage adopts the forms of load bearing bulkheads and a full skin; the bulkheads are connected and positioned through carbon tubes; the middle section of the fuselage is a circular cross section and contracts into a guide circle forward and backward; the middle section of the fuselage is provided with an undercarriage installation baffle and an equipment compartment floor which are connected with the bulkheads of the middle section of the fuselage through tenons and mortises; a platform groove is formed in the upper edge of the middle of the fuselage; a carbon tube beam groove made from a laminate on a platform is connected with a wing beam though screws; and a platform groove is formed in the upper edge of the tail part of the fuselage and is connected with a horizontal tail through screws. The tilt-rotor unmanned aerial vehicle is compact in structure, improves reliability and is suitable for application and popularization.

Tilt-rotor unmanned aerial vehicle

The invention discloses a modular combined duct type rotor wing unmanned aerial vehicle. The unmanned aerial vehicle adopts modular design, one unmanned aerial vehicle can fly, or two or four unmannedaerial vehicles can fly in a combined mode; and electromagnetic connection is adopted as the combined connecting mode. According to one unmanned aerial vehicle, two coaxial propellers with the centers located on the same vertical axis and with opposite rotating directions are arranged in a circular duct, the coaxial propellers are fixedly connected with an output shaft of a motor, and the two coaxial propellers form a main rotor wing of the unmanned aerial vehicle to provide lifting force for the unmanned aerial vehicle and counteract the torque when the unmanned aerial vehicle hovers. The ends of three frames on one side of the outer side wall of the central duct are each provided with two electromagnetic connecting grooves and an electromagnetic connecting convex head, the ends of two frames on the other side are fixedly connected with the propellers through motors, the two propellers form unmanned aerial vehicle auxiliary rotor wings, and the rotating states and the attitude control moment of the two auxiliary rotor wings are changed, so that the functions of maneuvering flight, vertical take-off and landing and hovering of the unmanned aerial vehicle are achieved.

Guo Qing

Papers

Complete synchronization of the global coupled dynamical network induced by Poisson noises.

Tilt-rotor unmanned aerial vehicle

Modular combined duct type rotor wing unmanned aerial vehicle