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This work addresses the problem of stability and control of an Euler-Bernoulli beam with sliding-pinned boundary conditions. The control comes in the form of an applied displacement and bending moment on the pinned end. The proposed controller accounts for bounded exogenous disturbances on the pinned end boundary conditions, representing a number of possible practical issues such as model parameter...
The paper considers so-called Integral sliding modes and how they can be employed in the context of fault tolerant control. One advantage is that a sliding motion can be achieved at the outset and hence there is no reaching phase. Two distinct classes of problem are considered: in the first a fault tolerant ISM controller is designed for a class of faults in an over-actuated linear system; in the...
In this paper, a new robust control strategy to accomplish the precise control of robot manipulators under load uncertainty is proposed using a nonlinear optimal control formulation and solution. This approach is based on the underlying relation between the robust stability and performance optimality. A class of robust control problems can be transformed to an equivalent optimal control problem by...
Due to deep automation, the configuration of many Cloud infrastructures is static and homogeneous, which, while easing administration, significantly decreases a potential attacker's uncertainty on a deployed Cloud-based service and hence increases the chance of the service being compromised. Moving-target defense (MTD) is a promising solution to the configuration staticity and homogeneity problem...
In quantum mechanics, the Heisenberg's uncertainty principle is an inequalities which it says that we can not measure the conjugate quantities of the particles at the same time with the precision. The fuzzy boundary condition can be a mathematical model for this type of problem. In this paper we consider the Schrödinger equation equipped with fuzzy conditions. The analytical result is derived and...
Due to adding the extra degree of freedom, the fractional order PID (FO-PID) controller can achieve better control performance than the integer order PID controller. Based on the existing tuning methods, developed for particular forms of the process, in this paper the FO-PI and FO-PD controller design method is proposed for a large class of system models, including fractional order and integer models...
This paper proposes a robust integral sliding mode (RISM) manifold and the corresponding design method of stabilization control law for uncertain systems with control input time delay. Delay-independent sufficient condition for the existence of the RISM surface is given in terms of LMI, and the sliding mode control (SMC) law which can keep system stay on the neighborhood of the RISM surface in finite...
In the perspective of decreasing polluting emissions and developing alternative energies, fuel cells, and more precisely Proton Exchange Membrane Fuel Cells (PEMFC), represent a promising solution. Even if this technology is close to being competitive, it still suffers from too short life duration. As a consequence, prognostic seems to be a great solution to anticipate PEMFC stacks degradation. However,...
The paper proposes an approach to the construction of Lyapunov functions, which based on the geometric interpretation of a theorem on asymptotic stability and method of construction control systems with increased potential for robust stability for objects with uncertain parameters in the form of three-parameter structurally stable maps of catastrophe theory. Vector components of antigradient of Lyapunov...
In this paper, the distributed cooperative attitude tracking control law based on a new modified fast terminal sliding mode is presented for multiple spacecraft formation flying in the presence of model uncertainty and external disturbance. Firstly, to speed the convergence rate and avoid the singularity problem, a new modified fast terminal sliding mode manifold is proposed. Then, based on the proposed...
The fundamental nature of sliding mode control is described. Emphasis is placed upon presenting a constructive theoretical framework to facilitate practical design. The developments are illustrated with numerical examples throughout.
In this paper, we consider robust stability and instability of an uncertain nonlinear system with an uncertainty-dependent equilibrium. In conventional approaches to the analysis, it is assumed that the location of the equilibrium in the nonlinear system is not shifted by the uncertainty and then the robustness is discussed. However, the assumption does not hold for general nonlinear systems. We consider...
Floods are the most common natural disasters, causing thousands of casualties every year in the world. In particular, flash flood events are particularly deadly because of the short timescales on which they occur. Unmanned air vehicles equipped with mobile microsensors could be capable of sensing flash floods in real time, saving lives and greatly improving the efficiency of the emergency response...
This paper is concerned with the evaluation model of emergency capability evaluation for the ship at sea. The goal of our work is to find the human reasons leading to the poor ship emergency capability, and then improve the team cooperation ability in emergency to avoid the vessel accidents. In this paper, firstly, according to the special attitude of the ship on sailing, the emergency capability...
In this paper, we discuss how to synthesize a stabilizably robust controller for a ball and plate system (BPS). In order to reduce the fragility in its robust controller synthesis, a loop-shaping method in terms of a normalized right coprime factor (NRCF) uncertainty description for the BPS is thus employed. In effect, the design of weighting functions for the BPS loop-shaping is a decisive factor...
In this paper, we present an optimal sensor management technique for an Unmanned Aerial Vehicle (UAV) to autonomously geo-localize multiple mobile ground targets. The target states are continuously estimated using target locations asynchronously captured by a gimbaled camera with a limited field of view and processed with a set of Extended Kalman Filters (EKFs). The technique incorporates a Dynamic...
Despite its simplicity, drawback for the application of energy detection for spectrum sensing in cognitive radio is its poor performance in noise of uncertain power. In this paper we proposed a HOS based spectrum sensing method for cognitive radio network that give better performance than energy detection in noise of uncertain power. The proposed method based on distribution analysis as test statistic...
Markov chains play an important role in the decision analysis. In the practical applications, decision-makers often need to decide in an uncertain condition which the traditional decision theory can't deal with. In this paper, we combine Markov chains with the fuzzy sets to build a fuzzy Markov chain model using a triangle fuzzy number to denote the transition probability. A method is given to compute...
Following the de Broglie's idea of pilot wave, this paper treats quantum mechanics as a problem of stochastic optimal guidance law design. The guidance scenario considered in the quantum world is that an electron is the flight vehicle to be guided and its accompanying pilot wave is the guidance law to be designed so as to guide the electron to a random target driven by Wiener process, while minimizing...
In this paper, the load uncertainty for solving Security constrained unit commitment (SCUC) problem in presence of plug-in electric vehicle is studied. SCUC is one of the most important research areas in power systems which enables commitment scheduling table of the generation unit commitment in order to maximize the security and minimize the cost, beside satisfaction of the constraints of the system...
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