This paper presents an adaptive backstepping control design for a class of unmanned helicopters with parametric uncertainties. The control objective is to let the helicopter track some pre-defined position and yaw tra...
详细信息
In this paper,a reconfiguration flight-control via control re-allocation is developed for a reusable launch vehicle(RLV) under aerodynamic control surfaces *** dynamic control re-allocation scheme is based on real-tim...
详细信息
ISBN:
(纸本)9781509009107
In this paper,a reconfiguration flight-control via control re-allocation is developed for a reusable launch vehicle(RLV) under aerodynamic control surfaces *** dynamic control re-allocation scheme is based on real-time computation of linear matrix inequalities(LMIs).In the approach proposed here,control allocation is formulated as an optimization problem to minimize the performance *** into account non-negligible dynamics of the actuators with hard constraints,the presented scheme extends the existing algorithms by providing asymptotic tracking of time-varying input commands for a class of ***,simulation results of X-3 3 reentry vehicle model dynamic show the effectiveness of the reconfiguration approach developed in this study.
We study the linear-quadratic-Gaussian(LQG) control for multiple-input/multiple-output(MIMO) discrete-time networked control systems(NCSs) in the presence of data packet drops that are modeled as multiplicative noises...
详细信息
ISBN:
(纸本)9781509009107
We study the linear-quadratic-Gaussian(LQG) control for multiple-input/multiple-output(MIMO) discrete-time networked control systems(NCSs) in the presence of data packet drops that are modeled as multiplicative noises,assumed to be white *** will first analyze the mean square(MS) stability problem for MIMO feedback systems in the presence of the multiplicative noises,and provide a new useful MS stability *** LQG control under packet data drops will then be studied in which the critical probability of the received data packet can be computed by solving a set of linear matrices inequalities(LMIs),beyond which the modified algebraic Riccati equations,associated with the LQG control,admit the stabilizing *** a numerical example from the known literature is employed to illustrate our results.
This paper addresses the problem of robust stabilization for uncertain systems subject to input saturation and nonhomogeneous Markov *** uncertainties are assumed to be norm bounded and the transition probabilities ar...
详细信息
ISBN:
(纸本)9781467397155
This paper addresses the problem of robust stabilization for uncertain systems subject to input saturation and nonhomogeneous Markov *** uncertainties are assumed to be norm bounded and the transition probabilities are time-varying and *** expressing the saturated linear feedback law on a convex hull of a group of auxiliary linear feedback laws and the time-varying transition probabilities inside a polytope,we establish conditions under which the closed-loop system is asymptotically *** on these conditions,the problem of designing the state feedback gains for achieving fast transience response with a guaranteed size of the domain of attraction is formulated and solved as a constrained optimization problem with linear matrix inequality(LMI) *** results are then illustrated by a numerical example.
This article deals with the problem of driving a family of second-order nonlinear agents to land on a sphere and formation tracking a set of given orbits on the sphere.A novel geometric extension called the concentric...
详细信息
ISBN:
(纸本)9781467397155
This article deals with the problem of driving a family of second-order nonlinear agents to land on a sphere and formation tracking a set of given orbits on the sphere.A novel geometric extension called the concentric compression method is proposed to give a solution to spheral landing and then combines with the control of spherical meridian and parallel to achieve formation motion along given orbits on the *** asymptotic stability of system is proved by Lyapunov-based method when the communication topology is *** effectiveness of the analytical result is verified by a numerical simulation.
A modified Elman neural network (MENN) based neural adaptive inverse control scheme is proposed for trajectory tracking of rate-dependent hysteresis. To attenuate the influence of the rate-dependent hysteresis, a modi...
详细信息
ISBN:
(纸本)9781509006212
A modified Elman neural network (MENN) based neural adaptive inverse control scheme is proposed for trajectory tracking of rate-dependent hysteresis. To attenuate the influence of the rate-dependent hysteresis, a modified inverse backlash operator (MIBO) is developed to act as the hidden layer neuron of the MENN to describe the dynamic behavior of the inverse rate-dependent hysteresis. The diagonal recurrent weights of context layer and the recurrent weights from hidden layer to context layer are designed to enhance the dynamic learning capability of the MENN. To determine an appropriate structure and the parameters of the MENN for adaptive inverse control, a MENN is trained first based on the data of inverse rate-dependent hysteresis. In view of the nonsmooth characteristics of the MIBOs, a restricted step proximal bundle (RSPB) method is employed to search the appropriate subgradients at the nonsmooth vertexes of the MIBOs. The relevant Levenberg-Marquardt (L-M) algorithm is developed to acquire an appropriate MENN that is used as the initial controller to implement adaptive inverse control for rate-dependent hysteresis via gradient descent learning algorithm. Numerical control results on a Duhem model of piezoelectric actuators have validated the effectiveness of the proposed method.
Since most chemical processes exhibit severe nonlinear and time-varying behavior, the control of such processes is challenging. In this paper, we propose data-driven controller design method based on lazy learning for...
详细信息
ISBN:
(纸本)9789881563897
Since most chemical processes exhibit severe nonlinear and time-varying behavior, the control of such processes is challenging. In this paper, we propose data-driven controller design method based on lazy learning for chemical processes. Using a lazy learning algorithm, a local valid linear model denoting the current state of system is automatically exacted for adjusting the PID controller parameters based on input/output data. This scheme can adjust the PID parameters in an online manner even if the system has nonlinear properties. The simulation results on the dynamic model of Continuous Stirred Tank Reactor(CSTR) are provided to demonstrate the effectiveness of the proposed new control techniques.
Ⅰ.Introduction CYBER-PHYSICAL system is a system of collaborating computational elements to control physical *** coordination and the tight link between computational,virtual and physical resources in cyber-physical ...
详细信息
Ⅰ.Introduction CYBER-PHYSICAL system is a system of collaborating computational elements to control physical *** coordination and the tight link between computational,virtual and physical resources in cyber-physical system will have a pervasive effect on our everyday *** development of cyber-physical system will create new opportunities for the introduction of services that will enhance the quality of life
To address large scale industrial processes,a novel Lagrangian scheme is proposed to decompose a refinery scheduling problem with operational transitions in mode switching into a production subproblem and a blending a...
详细信息
To address large scale industrial processes,a novel Lagrangian scheme is proposed to decompose a refinery scheduling problem with operational transitions in mode switching into a production subproblem and a blending and delivery *** accelerate the convergence of Lagrange multipliers,some auxiliary constraints are added in the blending and delivery subproblem.A speed-up scheme is presented to increase the efficiency for solving the production *** initialization scheme of Lagrange multipliers and a heuristic algorithm to find feasible solutions are *** results on three cases with different lengths of time horizons and different numbers of orders show that the proposed Lagrangian scheme is effective and efficient.
暂无评论