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REINFORCEMENT LINEARIZATION CONTROL SYSTEM
Cybernetics and Systems, 2000The objective of the article is to provide an effective linearization control approach for a nonlinear system. Three reinforcement back propagation learning algorithms (RBPs), based on different step-ahead predictions, are proposed to build the affine linear model of a nonlinear system by means of a composed neural network structure.
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2008
In this chapter a review of the design of multivariable feedback controllers for linear systems will be considered. This review treats mainly deterministic control objects with deterministic disturbances. After giving an overview of the type of linear systems to be treated, this chapter will handle the basic control system design method known as pole ...
Elbert Hendricks +2 more
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In this chapter a review of the design of multivariable feedback controllers for linear systems will be considered. This review treats mainly deterministic control objects with deterministic disturbances. After giving an overview of the type of linear systems to be treated, this chapter will handle the basic control system design method known as pole ...
Elbert Hendricks +2 more
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An iterative approach to the optimal co-design of linear control systems
International Journal of Control, 2016Yu Jiang +3 more
semanticscholar +1 more source
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
, 2008Kazuo Tanaka, Hong Wang
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Analyzing Real Time Linear Control Systems Using Software Verification
IEEE Real-Time Systems Symposium, 2015Parasara Sridhar Duggirala +1 more
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Cervical cancer prevention and control in women living with human immunodeficiency virus
Ca-A Cancer Journal for Clinicians, 2021Philip E Castle, Vikrant V Sahasrabuddhe
exaly
Positive Linear Control Systems
2020This chapter is devoted to the analysis of the positive dynamical linear continuous-time and discrete-time systems. The basic definitions and theorems concerning positivity and stability of the standard and descriptor (singular) linear systems described by the state equation and transfer matrices are given.
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Sparse feedback in linear control systems
Automation and remote control, 2014Boris Polyak +2 more
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