Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 16 of 16 for “"Persistent Excitation"”.
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Friction compensation using adaptive nonlinear control with persistent excitation
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1997.
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Graduated Persistent Excitation and steady state margins for adaptive systems
… Matrix Inequalities are proposed. The concept of Persistent excitation in the context of improving stability and robustness properties of closed loop adaptive systems is discussed. Graduated Persistent Excitation (GPE) is introduced as an easy to implement alternative to Persistent excitation.
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Pseudo-linear identification: optimal joint parameter and state estimation of linear stochastic MIMO systems
… is also proved, under a reasonable assumption of persistent excitation, that the PLID parameter estimates converge a.e. to the true parameter values of the unknown system. For deterministic systems, it is proved that PLID exactly identifies the states and parameters in the minimum possible time, …
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AC-RL: A Framework for Real-Time Control, Learning & Adaptation
… is also shown to lead to parameter learning with persistent excitation. Numerical validations of all algorithms are carried out using a quadrotor landing task on a moving platform. These results point out the clear advantage of the proposed integrative AC-RL approach.
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Nonlinear Adaptive Estimation Andits Application To Synchronization Of Lorenz System
… observer. It is shown by Lyapunov arguments and persistent excitation analysis that exponential stability of state and parameter estimation is guaranteed. Simulation results are included to demonstrate properties of the algorithm. In a practical communication system, the received signals …
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Parameter estimation and control of nonlinearly parameterized systems
… Estimator (PAE) is invented and the Nonlinearly Persistent Excitation Condition for NLP systems, which is no more restrictive than LPE for linear systems, is established for the first time. To reduce computation complexity of PAE, a Hierarchical PAE is proposed. Its performance in the presence of …
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Control-oriented modeling and adaptive parameter estimation of a lithium ion intercalation cell
… are shown to converge under conditions of persistent excitation..
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A system identification approach to non-invasive central cardiovascular monitoring
… without any direct use of unknown input signal: persistent excitation, model identifiability and asymptotic variance. The blind identification and input signal reconstruction algorithms will first be applied to 2-sensor central cardiovascular monitoring problem using two distinct peripheral blood …
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Aviation Propulsive Lithium-Ion Battery Packs State-of-Charge and State-of-Health Estimations and Propulsive Battery System Weight Analysis
… currents and terminal voltages) with persistent excitation, the proposed estimator can determine the present internal parameters of the battery cells and further interpolate them into state-of-charge, state-of-health, and the remaining energy information. The validation results …
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Fast learning and adaptation in control and machine learning
… convergence with reduced requirements of persistent excitation, and analysis for time-varying parameters. From the point of view of machine learning, this thesis derives algorithms that are applicable for real-time decision making. In particular, these algorithms ensure fast prediction …
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Fast Parameter Learning in Adaptive Systems
… is established with no requirements of input excitation. With input excitation, parameter convergence is established for constant parameters, with the convergence proven to be exponential when the excitation is persistent. For continuous-time systems, the thesis consists of two contributions, …
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Modeling and control of flexible structures
… control for a distributed system subjected to persistent excitation is not available, so a two-part control is proposed in chapter five for suppressing the motion of a distributed system with a moving support. The first part cancels the moving support's excitation to an optimal extent, and the …
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Convergence of Kernel Methods for Modeling and Estimation of Dynamical Systems
… for adaptive estimation, a novel definition of persistent excitation (PE) is introduced, which is proven to guarantee the pointwise convergence of the estimate of function over the PE domain. The finite-dimensional approximation of the RKHS embedding method is based on approximant spaces that …
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Identification and control of nonlinear processes with static nonlinearities.
… single step has been developed. The condition of persistent excitation has also been derived. Nonlinear control design approaches for the above models are then developed in this thesis based on: (1) a nonlinear compensator; (2) the extended internal model control (IMC); and (3) the model …
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Functional Regression and Adaptive Control
… estimation error to the origin, if the system is persistently excited. More importantly, in contrast to the conventional schemes, the parameter estimation error may be expected to converge to the origin even when the system is not persistently excited. The novel adaptive method are also applied to …
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Dynamic mode decomposition with application to optimal control
… set, we use a condition called Persistence of Excitation (PE). When a data sample satisfies the PE property, it guarantees that the data represents the dynamics well and that the hidden model parameters of the system can be approximated using methods from adaptive control. We prove that the …