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The ship straight-line tracking system is restricted by unintegrable second order nonholonomic constraint, so it is underactuated and difficult to control. The control of the ship straight-line tracking was converted to the control of an actuated system by the output variable redefined method. The stabilization of tracking system, which can be ensured by the stabilization of the new system, was proved...
We consider an optimal control problem of MIMO systems affected by external disturbances with known dynamic characteristics but unknown initial conditions based on stability degree constraint. The objective is to find an optimal control, by which the cost function minimum and the state with the optimal control having a higher mean-square convergence rate can be obtained. A feedforward and feedback...
This paper discusses the Improvement of Concave-Convex procedure, where the objective function in optimization problem can be decomposed into a convex function minus a generalized differential function. While preserving the property of monotonic decreasing for optimization objective function, the convergence conditions of this procedure and the scope it can be applied to were also improved greatly...
With unknown control gain function and plant bound functions, a H∞ direct adaptive fuzzy controller (AFC) for a class of single-input single-output (SISO) uncertain affine nonlinear systems under external disturbance is proposed. A conventional fuzzy logic system (FLS) is used to approximate the control gain function, and a FLS with variable universes of discourse, which has the characteristic of...
This paper considers the optimal disturbance attenuation and rejection problem for MIMO systems affected by external sinusoidal disturbances based on stability degree constraint. The objective is to find an LQR optimal controller, by which the cost function minimum and the state with the optimal having a higher mean-square convergence rate can be obtained. A LQR control law is derive from a Riccati...
Step-size is the most important parameter in LMS adaptive algorithm, which directly influences the performance of adaptive filter. In this paper, filter parameter is theoretically calculated and subsection various step-size (SVSS) is introduced to improve stability of adaptive filter. Simulation results indicate that the new method of SVSS can solve well the contradiction between convergence rate...
This work reviews the memristor and its characteristics and provides an impulsive model of memristor oscillators which helps us to develop memristive devices and nonlinear systems. By introducing an efficient tool of a set of inequalities, we analyze the hybrid memristive system and present some new conditions for globally exponential stability of impulsive control memristive systems. Furthermore,...
This paper considers semi-global robust finite time stabilization of non-holonomic chained form systems with perturbed terms. The objective is to design a non-smooth state feedback law such that the controlled chained form system is both Lyapunov stable and finite-time convergent within any given settling time for any given initial states. We propose a novel switching control strategy with help of...
Internet congestion control system is complex, uncertainty and nonlinear. An Improved PID Neural Network (I-PID-NN) controller with changing integration rate and incomplete derivation in hidden layer is applied in active queue management (AQM). The adjustment of neural network parameters are implemented by using gradient algorithm as learning the rules, and the probability of packet loss can achieve...
This paper presents a general form for the fast terminal sliding mode (FTSM). It is shown that the proposed form not only includes the conventional FTSM, but also provides new types of FTSM which can have a faster convergence rate than the conventional one. More importantly, the convergence time of the new FTSM models is bounded for any initial value, which means an upper bound of the convergence...
In this paper, through the research of the existing particle swarm optimization algorithm and its improved algorithm, a particle swarm optimization algorithm improvement program is proposed, and the experimental results show that this improved algorithm not only does not increase the complexity, but also has greater improvement in the convergence speed and stability comparing with the original algorithm.
Aiming at question that low identification precision of time series model system in noise, the ARMA parameters are estimated using a damped sinusoidal model representation of the autocorrelation function of the noise ARMA signal. The AR parameters are obtained directly form the estimates of the damped sinusoidal model parameters with guaranteed stability. The MA parameters are estimated using a correlation...
To control particles flying inside the limited search space and deal with the problem of slow search speed and premature convergence, this paper applies the theory of topology, and proposes a novel quotient space-based boundary condition by using the properties of quotient space and homeomorphism. In this new method, named QsaBC, Search space-zoomed factor and Attractor are introduced to enhance the...
A discontinuous time-invariant switching feedback control law is proposed to make the states of an underactuated surface vessel convergence to equilibrium point in finite time. After global diffeomorphism and input transformations, explicit formulas of the state feedback control law are respectively proposed for two subsystems based on global fast terminal sliding mode control strategy. Thus, the...
For current practices on the measurement-based load modeling, the dispersity of the identification results is an obstacle in the application of the load model. Based on the improvement of the basic genetic algorithm and the sensitivity analysis of composite load model parameters, this paper proposed a new identification strategy, in which the majority of parameters are fixed and only the parameters...
Semi-discretization method is expanded to determine the stability charts of NFDE for milling processes including process damping. The method is based on a special kind of discretization technique with respect to the past effect only. The convergence of approximate method is investigated by the example of delayed Mathieu equation, and stability charts of the damped and neutral delayed Mathieu equation...
This paper considers the finite-time stabilization problem for an integrator chain in the context of uncertain measurement nonlinearities, such that the signs of the state variables are the only available information for feedback. The solutions of this problem are known for single, double, and triple integrators. The main result of the present paper is a higher-order sliding mode (HOSM) controller...
Stabilization problem of hydropower station penstock under external pressure is one of main control conditions of penstock design. At present, because of factors of assumption conditions and boundary simplification, the various calculation methods of the problem have their limitations; sometimes even calculation results have great differences. In this paper, penstock critical external pressure is...
This article discusses target tracking for marine vehicles in the presence of constant disturbances. In previous work the stability analysis for the system has been discussed. In this article we show both theoretically and by simulation what the effect of the tuning parameters on the closed-loop system is, and provide a set of tuning rules.
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