The　problem　of　sampled-data　　$H_{\infty}$　　dynamic　output-feedback　control　for　networked　control　systems　with　successive　packet　losses　(SPLs)　and　stochastic　sampling　is　investigated　in　this　article.　The　aim　of　using　sampled-data　control　techniques　is　to　alleviate　network　congestion.　SPLs　that　occur　in　the　sensor-to-controller　(S-C)　and　controller-to-actuator　(C-A)　channels　are　modeled　using　a　packet　loss　model.　Additionally,　it　is　assumed　that　stochastic　sampling　follows　a　Bernoulli　distribution.　A　model　is　established　to　capture　the　stochastic　characteristics　of　both　the　SPL　model　and　stochastic　sampling.　This　model　is　crucial　as　it　allows　us　to　determine　the　probability　distribution　of　the　sampling　interval　between　successive　update　instants,　which　is　essential　for　stability　analysis.　An　exponential　mean-square　stability　condition　for　the　constructed　equivalent　discrete-time　stochastic　system,　which　also　guarantees　the　prescribed　　$H_{\infty}$　　performance,　is　established　by　incorporating　probability　theory.　The　desired　controller　is　designed　using　a　step-by-step　synthesis　approach,　which　may　offer　lower　design　conservatism　compared　to　some　existing　methods.　Finally,　our　designed　approach　using　a　networked　F-404　engine　system　model　is　validated　and　its　merits　relative　to　existing　results　are　discussed.　The　proposed　method　is　finally　validated　by　employing　a　networked　model　of　the　F-404　engine　system.　Furthermore,　the　advantages　of　our　method　are　presented　in　comparison　to　previous　results.　IEEE