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Data-driven estimation of the algebraic Riccati equation for the discrete-time inverse linear quadratic regulator problem
In this paper, we propose a method for estimating the algebraic Riccati equation (ARE) with respect to an unknown discrete-time system from the...
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Optimal Control and Linear Quadratic Regulators
In this chapter we introduce optimal control concepts, linear quadratic regulatorsOptimal controllinear quadratic regulator and servomechanism...
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Linear quadratic optimal control of a high-performance loudspeaker
Due to the nonlinearity of loudspeaker systems, the sound produced by these systems is riddled with harmonic and intermodulation distortions. To...
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Discrete-time inverse linear quadratic optimal control over finite time-horizon under noisy output measurements
In this paper, the problem of inverse quadratic optimal control over finite time-horizon for discrete-time linear systems is considered. Our goal is...
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Indefinite Linear Quadratic Optimal Control Problem for Continuous-time Linear Descriptor Markov Jump Systems
The indefinite linear quadratic (ILQ) optimal control problem for continuous-time descriptor Markov jump systems (DMJSs) is discussed in this work....
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Social Optima in Linear Quadratic Mean-field Output Feedback Control
This paper studies social optimal control problem for linear quadratic mean-field system with noisy output. For the output feedback control, each...
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Comparison of optimization approaches on linear quadratic regulator design for trajectory tracking of a quadrotor
Linear Quadratic Regulator (LQR) is one of the most prevalent methods used in the control of unmanned aerial vehicles. LQR controllers are commonly...
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Reduction of data amount in data-driven design of linear quadratic regulators
This paper discusses the data-driven design of linear quadratic regulators, i.e., to obtain the regulators directly from experimental data without...
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Background on Integral and Inverse Reinforcement Learning for Feedback Control
In this chapter, we briefly revisit concepts in optimal control of linear quadratic regulators (LQRs), techniques of integral reinforcement learning...
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Inverse WKB recursive solution method for dynamic load identification of linear time-varying structural systems
To perform the accurate and efficient dynamic load identification (DLI) on time-varying (TV) structural systems, this paper proposes a novel...
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Coordinate control of strip thickness-crown-tension based on inverse linear quadratic in tandem hot rolling mill
In order to further improve the control accuracy of thickness, crown and tension in hot strip finishing mill, a multivariable optimizing strategy...
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Accurate solutions of interval linear quadratic regulator optimal control problems with fractional-order derivative
In this study, the goal is to obtain optimal solutions for fractional interval linear quadratic regulator problems. The major contribution made in...
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Uniqueness and Stability of Solving the Inverse Problem of Thermoelasticity. Part 2. Regularization
Based on the analysis of direct variational methods used in the Hilbert space — the regularization method and the iterative regularization method —...
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PI-funnel and inverse hysteresis compensation cascade control of smart soft dielectric elastomer actuator
Smart soft dielectric elastomer actuators (SSDEAs) possess wide applications in soft robotics due to their properties similar to natural muscles,...
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Topology optimization applied to the acoustic medium inverse problem in the time domain using integer linear programming
In this paper, the acoustic inverse problem modeled in the time domain featuring wave velocity reconstruction in the presence of sharp interfaces is...
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Spatiotemporal Control of Systems with Distributed Parameters in Linear-Quadratic Optimization Problems with Uniform Estimates of Target Sets
AbstractA constructive method is proposed for solving a linear-quadratic spatiotemporal control problem in systems with distributed parabolic...
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Fuzzy random classical and inverse median location problems
In many complex systems, fuzziness and randomness simultaneously appear in a system. Then the fuzzy random variable such that it can be an effective...
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Robust Reinforcement Learning for Stochastic Linear Quadratic Control with Multiplicative Noise
Pang, Bo Jiang, Zhong-**This chapter studies the robustnessRobustness of reinforcement learningReinforcement Learning (RL) for discrete-time linear...
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Stochastic Linear-Quadratic Control
In this short article, we briefly review some major historical studies and recent progress on continuous-time stochastic linear-quadratic (SLQ)...
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Prescribed-Time Stabilization and Inverse Optimality for Nonlinear Systems
In this paper, the prescribed-time stabilizationPrescribed-time stabilization and inverse optimalityInverse optimality problem is studied for...