Results 211 to 220 of about 12,236,025 (258)
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Guaranteed cost control for uncertain stochastic multimodeling systems
2009 European Control Conference (ECC), 2009The guaranteed cost control problem for stochastic multimodeling systems with norm bounded uncertainty is investigated. The main contribution in this paper is that a new parameter independent controller is derived by solving the reduced-order slow and fast stochastic algebraic Riccati equations (SAREs) whose dimension is smaller than the dimension of ...
Muneomi Sagara +3 more
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Guaranteed Cost Control for Singularly Perturbed Uncertain Systems
Sixth International Conference on Intelligent Systems Design and Applications, 2006This paper studies the guaranteed cost control for singularly perturbed uncertain systems. The system is decomposed into slow and fast sub-systems. The uncertainties in the fast subsystem are transferred to the composite control gain and are considered as the controller gain perturbations.
Yan Li, Xinmin Wang
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Reliable guaranteed cost control for uncertain nonlinear systems
IEEE Transactions on Automatic Control, 2000Summary: This paper is concerned with the reliable control design problem for uncertain nonlinear systems. A more practical model of actuator failures than outage is adopted. Based on the Hamilton-Jacobi inequality approach from nonlinear \(H_\infty\) control theory, a method for designing reliable state feedback controllers is presented. The resulting
Guang-Hong Yang +2 more
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Optimal guaranteed cost control of a biomimetic robot arm
2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), 2012In this paper, an optimal control problem for uncertain bilinear systems is formulated via a guaranteed cost approach and then applied to the design of a stabilizing controller for a robot arm actuated by Pneumatic Artificial Muscles (PAMs). The results show that the contributed methodology is suitable for efficiently designing control systems which ...
Amato, Francesco +3 more
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Guaranteed cost control design for delayed teleoperation systems
Journal of the Franklin Institute, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuling Li 0002 +3 more
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Guaranteed Cost Control for Delayed GRNs
2019This chapter addresses the problem of state feedback guaranteed cost control for uncertain GRNs with interval time-varying delays. The involved norm-bounded uncertainties are first transformed into external disturbances, and then an LKF approach combined with the convex technique and cone complementarity linearization technique is proposed to ...
Xian Zhang, Yantao Wang, Ligang Wu
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Guaranteed Cost Control of Networked Control Systems: An LMI Approach
2005In this paper, networked control systems (NCS) is modeled as a discrete-time linear state-delayed system with norm-bounded uncertainty. Inspired by the so-called descriptor model transformation, a delay-dependent sufficient condition for the existence of a guaranteed cost controller for NCS is presented by a set of linear matrix inequalities (LMIs ...
Shanbin Li, Zhi Wang 0003, Youxian Sun
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Robust Quantized Guaranteed Cost Control
Applied Mechanics and Materials, 2013In this paper, the robust state feedback guaranteed cost control problem for discrete-time systems with signal quantization is studied. A dynamic quantization control strategy is proposed with updating the quantizer’s parameter such that the system is asymptotically stable and the performance index is with a upper bound.
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GUARANTEED COST CONTROL FOR MULTI-INVENTORY SYSTEMS WITH UNCERTAIN DEMAND
IFAC Proceedings Volumes, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
BLANCHINI, Franco +2 more
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Finite-horizon guaranteed cost control
2000As mentioned in Chapter 1, the problem of directly extending the results of Chapter 5 to the case of a finite time horizon or to the case of time-varying uncertain systems, appears to be mathematically intractable. In this chapter, we overcome this difficulty by considering an alternative class of uncertain systems with structured uncertainty.
Ian R. Petersen +2 more
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