scholarly journals Optimal Jamming Attack Scheduling in Networked Sensing and Control Systems

2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
Lifu Zhang ◽  
Heng Zhang ◽  
Cunhua Li ◽  
Buxi Ni
Keyword(s):  
Control Systems ◽  
Time Horizon ◽  
Linear Quadratic ◽  
Control Cost ◽  
Linear Quadratic Gaussian ◽  
Jamming Attack ◽  
Special Cases ◽  
Finite Time Horizon ◽  
And Control ◽  
The Given

This paper investigates the optimal jamming attack scheduling in Networked Sensing and Control Systems (NSCS). From viewpoint of the attacker, we formulate an optimization problem which maximizes the Linear Quadratic Gaussian (LQG) control cost with attacking energy constraint in a finite time horizon. For two special cases, we obtain that the optimal jamming attack schedule is to consecutively attack in the given time horizon. For the general case, we propose an algorithm to find the optimal schedules. Finally, we study the effectiveness of our proposed attack strategies on our established semiphysical testbed.

A Stochastic Regulator for Integrated Communication and Control Systems: Part II—Numerical Analysis and Simulation

1991 ◽  
Vol 113 (4) ◽  
pp. 612-619 ◽  
Author(s):  
Luen-Woei Liou ◽  
Asok Ray
Keyword(s):  
Control Systems ◽  
Numerical Procedure ◽  
Linear Quadratic Regulator ◽  
State Feedback Control ◽  
Control Law ◽  
Linear Quadratic ◽  
Simulation Experiments ◽  
Integrated Communication ◽  
And Control ◽  
Future Work

A state feedback control law has been derived in Part I [1] of this two-part paper on the basis of an augmented plant model [2, 3, 4] that accounts for the randomly varying delays induced by the network in Integrated Communication and Control Systems (ICCS). The control algorithm was formulated as a linear quadratic regulator problem and then solved using the principle of dynamic programming and optimality. This paper, which is the second of two parts, presents (i) a numerical procedure for synthesizing the control parameters and (ii) results of simulation experiments for verification of the above control law using the flight dynamic model of an advanced aircraft. This two-part paper is concluded with recommendations for future work.

Review of Linear Stochastic Optimal Control Systems and Applications

1989 ◽  
Vol 111 (4) ◽  
pp. 399-403 ◽  
Author(s):  
H. V. Panossian
Keyword(s):  
Control Systems ◽  
Stochastic Optimal Control ◽  
Equivalence Principle ◽  
Additive Noise ◽  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Basic Difference ◽  
Advantages And Disadvantages ◽  
Gaussian System ◽  
And Behavior

Many complex control systems can be modeled by linear ordinary differential/difference equations with multiplicative and additive noise. The characteristics and behavior of such systems are different from a regular linear quadratic Gaussian system, the basic difference being the inapplicability of the separation or the certainty equivalence principle. Control systems with multiplicative and additive noise are reviewed herein and the fundamental results, in continuous and discrete-time setting, are presented. Furthermore, the advantages and disadvantages are underlined and the need for further research is pointed out.

Microclimate control of a greenhouse by adaptive Generalized Linear Quadratic strategy

2018 ◽  
Vol 11 (1) ◽  
pp. 377 ◽  
Author(s):  
Mohamed Essahafi ◽  
Mustapha Ait Lafkih
Keyword(s):  
Optimal Control ◽  
Least Squares ◽  
Recursive Least Squares ◽  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Advanced Technique ◽  
Online Identification ◽  
State Models ◽  
The Cost ◽  
And Control

<p>To highlight the conceptual aspects related to the implementation of techniques optimal control in the form state, we present in this paper, the identification and control of the temperature and humidity of the air inside a greenhouse. Using respectively an online identification based on the recursive least squares with forgotten Factor method and the multivariable adaptive linear quadratic Gaussian approach which the advanced technique (LQG) is presented.  The design of this controller parameters is based on state models identified directly from measured greenhouse data. hence the performances of the controller developed are illustrated by different tests and simulations on identified models of a greenhouse. Discussions on the results obtained are then processed in the paper to show the effectiveness of the controller in terms of stability and optimization of the cost of control.</p>

scholarly journals Linear Quadratic Gaussian Regulator for the Nonlinear Observer-Based Control of a Dynamic Base Inverted Pendulum

2021 ◽  
Vol 13 (3) ◽  
pp. 79-90
Author(s):  
K. Z. MIRZA
Keyword(s):  
Inverted Pendulum ◽  
Control Mechanism ◽  
Linear Quadratic Regulator ◽  
Nonlinear Observer ◽  
Linear Control ◽  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Pendulum System ◽  
Inverted Pendulum System ◽  
The Given

The inverted pendulum is a non-linear control problem permanently tending towards instability. The main aim of this study is to design a controller capable enough to work within the given conditions while also keeping the pendulum erect given the impulsive movement of the cart to which it is joint via a hinge. The first half of the paper presents the mathematical modelling of the dynamic system, together with the design of a linear quadratic regulator (LQR). This paper also discusses a novel adaptive control mechanism employing a Kalman filter for the mobile inverted pendulum system (MIPS). In the second half of the paper, a Gaussian Quadratic Linear Controller (LQG) is adapted to improve on previous deficiencies. The simulation is done through Simulink and results show that both controllers are capable of managing the multiple output model. However, data from simulations clearly showed that an LQG controller is a better choice.

A general purpose digital traffic simulator

SIMULATION ◽  
1970 ◽  
Vol 14 (1) ◽  
pp. 9-25 ◽  
Author(s):  
A.M. Blum
Keyword(s):  
Control Systems ◽  
Traffic Control ◽  
Control Experiment ◽  
General Purpose ◽  
Grid Networks ◽  
Special Cases ◽  
Geometrical Character ◽  
Validation Procedure ◽  
And Control ◽  
Real Traffic

The described vehicle traffic simulator is designed to fa cilitate analysis of traffic flow and to experiment with postulated traffic control systems. It offers users a large amount of flexibility in specifying network, intersection, vehicle, and control parameters. The logical flow of ve hicles, as well as much of the control system, is prepro grammed. Vehicles varying in size may change lanes, turn, change velocity (including reaction and acceleration delays), and merge. Input volumes may be varied, turns may be eliminated, and vehicles may be routed through the network. The user supplies the geometrical character istics and input information unique to his particular net work in data cards for the program. Some applications to real traffic networks (including a validation procedure) and a simple control experiment are discussed. The model, programmed in a special version of GPSS II and in FAP for the IBM 7090/94 systems, can be used in the simulation of single intersec tions, arterial routes, grid networks, and, for some special cases, limited access roadways.

Experimental Investigation of a Time Scales-Based Stability Criterion Over Finite Time Horizons

2015 ◽  
Author(s):  
Matthew Mosley ◽  
Ian Gravagne ◽  
Dylan Poulsen ◽  
John Davis
Keyword(s):  
Feedback Control ◽  
Exponential Stability ◽  
Control Systems ◽  
Time Scales ◽  
Stability Criterion ◽  
Finite Time ◽  
Time Horizon ◽  
Large Area ◽  
Feedback Control Systems ◽  
Finite Time Horizon

Feedback control systems that employ large area networks or other unpredictable or unreliable communications protocols between sensors, actuators, and controllers may experience nonuniform sampling characteristics. Previous work by Poulsen, et. al. gives a criterion for exponential stability of non-uniformly discretized feedback control systems, assuming sample periods drawn from a known statistical distribution. However, the given stability theorem assumes an infinite time horizon. This work therefore examines the exponential stability criterion experimentally, over a finite time horizon, on a 2nd-order servo mechanism. This paper is the first to experimentally investigate the validity of this time scales stability criterion.

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